From 2aff729e2fdbbe79040fafdee87870de61ce9b52 Mon Sep 17 00:00:00 2001 From: Vivek Nimkarde Date: Wed, 15 Aug 2018 08:22:36 +0530 Subject: [PATCH 01/20] Deploy website Deploy website version based on 9ed9f45152928e704c2d645a403277bedbe12202 --- css/main.css | 1 + css/prism.css | 130 ++++++++++++++ docs/audio-denoising-api.html | 164 ++++++++++++++++++ docs/authentication.html | 51 ++++++ docs/concepts.html | 35 ++++ docs/depression-prediction-api.html | 163 +++++++++++++++++ docs/emotion-recognition-api.html | 82 +++++++++ docs/errors.html | 66 +++++++ docs/introduction.html | 27 +++ ...paralinguistic-feature-extraction-api.html | 158 +++++++++++++++++ docs/quick-start.html | 43 +++++ docs/realtime-emotion-recognition-api.html | 131 ++++++++++++++ docs/realtime-speaker-identification-api.html | 133 ++++++++++++++ docs/speaker-diairization-api.html | 150 ++++++++++++++++ docs/speaker-enrollment-api.html | 113 ++++++++++++ docs/speaker-identification-api.html | 118 +++++++++++++ docs/text-emotion-recognition-api.html | 112 ++++++++++++ en/help.html | 7 + en/users.html | 1 + help.html | 7 + img/deepaffects-logo.png | Bin 0 -> 23664 bytes img/docusaurus.svg | 1 + img/favicon.png | Bin 0 -> 926 bytes img/favicon/favicon.ico | Bin 0 -> 6543 bytes img/language.svg | 3 + img/oss_logo.png | Bin 0 -> 4370 bytes index.html | 18 ++ sitemap.xml | 20 +++ users.html | 1 + 29 files changed, 1735 insertions(+) create mode 100644 css/main.css create mode 100644 css/prism.css create mode 100644 docs/audio-denoising-api.html create mode 100644 docs/authentication.html create mode 100644 docs/concepts.html create mode 100644 docs/depression-prediction-api.html create mode 100644 docs/emotion-recognition-api.html create mode 100644 docs/errors.html create mode 100644 docs/introduction.html create mode 100644 docs/paralinguistic-feature-extraction-api.html create mode 100644 docs/quick-start.html create mode 100644 docs/realtime-emotion-recognition-api.html create mode 100644 docs/realtime-speaker-identification-api.html create mode 100644 docs/speaker-diairization-api.html create mode 100644 docs/speaker-enrollment-api.html create mode 100644 docs/speaker-identification-api.html create mode 100644 docs/text-emotion-recognition-api.html create mode 100644 en/help.html create mode 100644 en/users.html create mode 100644 help.html create mode 100644 img/deepaffects-logo.png create mode 100644 img/docusaurus.svg create mode 100644 img/favicon.png create mode 100644 img/favicon/favicon.ico create mode 100644 img/language.svg create mode 100644 img/oss_logo.png create mode 100644 index.html create mode 100644 sitemap.xml create mode 100644 users.html diff --git a/css/main.css b/css/main.css new file mode 100644 index 0000000..b1bdf3a --- /dev/null +++ b/css/main.css @@ -0,0 +1 @@ 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for JavaScript, CSS and HTML + * Based on dabblet (http://dabblet.com) + * @author Lea Verou + */ + +code[class*="language-"], +pre[class*="language-"] { + color: black; + background: none; + text-shadow: 0 1px white; + font-family: Consolas, Monaco, 'Andale Mono', 'Ubuntu Mono', monospace; + text-align: left; + white-space: pre; + word-spacing: normal; + word-break: normal; + word-wrap: normal; + line-height: 1.5; + + -moz-tab-size: 4; + -o-tab-size: 4; + tab-size: 4; + + -webkit-hyphens: none; + -moz-hyphens: none; + -ms-hyphens: none; + hyphens: none; +} + +pre[class*="language-"]::-moz-selection, pre[class*="language-"] ::-moz-selection, +code[class*="language-"]::-moz-selection, code[class*="language-"] ::-moz-selection { + text-shadow: none; +} + +pre[class*="language-"]::selection, pre[class*="language-"] ::selection, +code[class*="language-"]::selection, code[class*="language-"] ::selection { + text-shadow: none; +} + +@media print { + code[class*="language-"], + pre[class*="language-"] { + text-shadow: none; + } +} + +/* Code blocks */ +pre[class*="language-"] { + padding: 1em; + margin: .5em 0; + overflow: auto; +} + +/* Inline code */ +:not(pre) > code[class*="language-"] { + padding: .1em; + border-radius: .3em; + white-space: normal; +} + +.token.comment, +.token.prolog, +.token.doctype, +.token.cdata { + color: slategray; +} + +.token.punctuation { + color: #999; +} + +.namespace { + opacity: .7; +} + +.token.property, +.token.tag, +.token.boolean, +.token.constant, +.token.symbol, +.token.deleted { + color: #905; +} + +.token.selector, +.token.number, +.token.attr-name, +.token.string, +.token.char, +.token.builtin, +.token.inserted { + color: #690; +} + +.token.operator, +.token.entity, +.token.url, +.language-css .token.string, +.style .token.string { + color: #9a6e3a; +} + +.token.atrule, +.token.attr-value, +.token.keyword { + color: #07a; +} + +.token.function, +.token.class-name { + color: #DD4A68; +} + +.token.regex, +.token.important, +.token.variable { + color: #e90; +} + +.token.important, +.token.bold { + font-weight: bold; +} +.token.italic { + font-style: italic; +} + +.token.entity { + cursor: help; +} \ No newline at end of file diff --git a/docs/audio-denoising-api.html b/docs/audio-denoising-api.html new file mode 100644 index 0000000..7cc78a9 --- /dev/null +++ b/docs/audio-denoising-api.html @@ -0,0 +1,164 @@ +Audio Denoising Api · DeepAffects

Audio Denoising Api

Removes noise from your audio signals and returns the denoised audio clip

+

POST Request

+

POST https://proxy.api.deepaffects.com/audio/generic/api/v1/sync/denoise

+

POST https://proxy.api.deepaffects.com/audio/generic/api/v1/async/denoise

+

Sample Code

+

Javascript

+
var DeepAffects = require("deep-affects");
+var defaultClient = DeepAffects.ApiClient.instance;
+
+// Configure API key authorization: UserSecurity
+var UserSecurity = defaultClient.authentications["UserSecurity"];
+UserSecurity.apiKey = "<ACCESS_TOKEN>";
+
+var apiInstance = new DeepAffects.DenoiseApi();
+
+var body = DeepAffects.Audio.fromFile("/path/to/file"); // {Audio} Audio object
+
+var callback = function(error, data, response) {
+  if (error) {
+    console.error(error);
+  } else {
+    console.log("API called successfully. Returned data: " + data);
+  }
+};
+
+// sync request
+apiInstance.syncDenoiseAudio(body, callback);
+
+webhook = "http://your/webhook/";
+// async request
+apiInstance.asyncDenoiseAudio(body, webhook, callback);
+
+

Shell

+
# sync request
+curl -X POST "https://proxy.api.deepaffects.com/audio/generic/api/v1/sync/denoise?apikey=<ACCESS_TOKEN>" -H 'content-type: application/json' -d @data.json
+
+# async request
+curl -X POST "https://proxy.api.deepaffects.com/audio/generic/api/v1/async/denoise?apikey=<ACCESS_TOKEN>>&webhook=<Your webhook url>&request_id=abcd-1234" -H 'content-type: application/json' -d @data.json
+
+# contents of data.json
+{"content": "bytesEncodedAudioString", "sampleRate": 8000, "encoding": "FLAC", "languageCode": "en-US"}
+
+

Python

+
import deepaffects
+from deepaffects.rest import ApiException
+from pprint import pprint
+
+deepaffects.configuration.api_key['apikey'] = '<ACCESS_TOKEN>'
+api_instance = deepaffects.DenoiseApi()
+
+body = deepaffects.Audio.from_file(file_name="/path/to/file")
+
+out_file_name = "/path/to/denoised_out_file.wav"
+
+try:
+    # Denoise an audio file
+    api_response = api_instance.sync_denoise_audio(body)
+    api_response.to_file(out_file_name)
+except ApiException as e:
+    print("Exception when calling DenoiseApi->sync_denoise_audio: %s\n" % e)
+
+# async api
+webhook = 'https://your/webhook/' # str | The webhook url where result from async resource is posted
+request_id = 'request_id_example' # str | Unique identifier for the request (optional)
+
+try:
+    # Denoise an audio file
+    api_response = api_instance.async_denoise_audio(body, webhook, request_id=request_id)
+    pprint(api_response)
+except ApiException as e:
+    print("Exception when calling DenoiseApi->async_denoise_audio: %s\n" % e)
+
+

Shell

+
# The above command returns output:
+
+{
+"content": "bytesEncodedDenoisedAudioString",
+"sampleRate": 8000,
+"encoding": "FLAC",
+"languageCode": "en-US"
+}
+
+

Body Parameters

+ + + + + + + + + + +
ParameterTypeDescriptionNotes
encodingStringEncoding of audio file like MP3, WAV etc.
sampleRateNumberSample rate of the audio file.
languageCodeStringLanguage spoken in the audio file.[default to 'en-US']
contentStringbase64 encoding of the audio file.
+

Query Parameters

+ + + + + + + + + +
ParameterTypeDescriptionNotes
api_keyStringThe apikeyRequired for authentication inside all requests
webhookStringThe webhook url at which the responses will be sentRequired for async requests
request_idNumberAn optional unique id to link async response with the original requestOptional
+

Output Parameters (Sync)

+ + + + + + + + + + +
ParameterTypeDescriptionNotes
encodingStringEncoding of audio file like MP3, WAV etc.
sampleRateNumberSample rate of the audio file.
languageCodeStringLanguage spoken in the audio file.[default to 'en-US']
contentStringbase64 encoding of the audio file.
+

Output Parameters (Async)

+ + + + + + + + +
ParameterTypeDescriptionNotes
request_idStringThe request idThis defaults to the originally sent id or is generated by the api
apiStringThe api method which was called
+

Output Parameters (Webhook)

+ + + + + + + + + + + +
ParameterTypeDescriptionNotes
request_idStringThe request idThis defaults to the originally sent id or is generated by the api
encodingStringEncoding of audio file like MP3, WAV etc.
sampleRateNumberSample rate of the audio file.
languageCodeStringLanguage spoken in the audio file.[default to 'en-US']
contentStringbase64 encoding of the audio file.
+
← ConceptsSpeaker Diarization Api →
\ No newline at end of file diff --git a/docs/authentication.html b/docs/authentication.html new file mode 100644 index 0000000..a85c8fe --- /dev/null +++ b/docs/authentication.html @@ -0,0 +1,51 @@ +Authentication · DeepAffects

Authentication

+

To authorize, use this code:

+
+

Python

+
import deepaffects
+
+# Configure API key authorization: UserSecurity
+deepaffects.configuration.api_key['apikey'] = '<ACCESS_TOKEN>'
+
+

Shell

+
# With shell, you can just pass the correct header with each request
+curl "api_endpoint_here?apikey=<ACCESS_TOKEN>"
+
+

Javascript

+
var DeepAffects = require("deep-affects");
+// Configure API key authorization: UserSecurity
+var UserSecurity = defaultClient.authentications["UserSecurity"];
+UserSecurity.apiKey = "<ACCESS_TOKEN>";
+
+
+

Make sure to replace <ACCESS_TOKEN> with API Key.

+
+

DeepAffects uses API keys to allow access to the API. You can register a new DeepAffects API key at our developer portal. +DeepAffects expects for the API key to be included in all API requests to the server along with the base url

+ +
← Quickstart GuideErrors →
\ No newline at end of file diff --git a/docs/concepts.html b/docs/concepts.html new file mode 100644 index 0000000..50609fa --- /dev/null +++ b/docs/concepts.html @@ -0,0 +1,35 @@ +Concepts · DeepAffects

Concepts

Rate Limiting

+

You can make 5 requests per minute to each API. The requests are capped at 100 requests per day. If you think you’ll need a higher rate limit, drop us a line at support@seernet.io and we can take it forward from there.

+

Once you go over the rate limit you will receive a rate_limit error response.

+

Webhooks

+

Certain requests, such as extracting emotion from a large audio, may have an asynchronous response (since there’s some complex background processing involved). For these requests you give us a webhook URL you want to be called when the request has finished processing.

+

To link up your requests to webhooks you can pass a webhook parameter when making these calls, containing a custom defined webhook identifier. We’ll pass this identifier back to you with the webhook request.

+

If you return anything other than a HTTP 200 status to the webhook POST then we’ll try to deliver the response to the webhook for up to 5 times with an exponential backoff. If we don't receive a 200 response from your server, we stop delivering the response.

+

Sync v/s Async v/s Realtime

+

As mentioned above, processing larger audio files take a while and hence we've created async apis specifically for them.

+

The sync apis are limited to audio files less than 2 minutes. For files with duration larger than those, use the async variant of the API.

+

For realtime processing we've created realtime api's based on grpc which accepts the data in smaller chunks and provides the response in realtime.

+
← ErrorsAudio Denoising Api →
\ No newline at end of file diff --git a/docs/depression-prediction-api.html b/docs/depression-prediction-api.html new file mode 100644 index 0000000..f5ecdcd --- /dev/null +++ b/docs/depression-prediction-api.html @@ -0,0 +1,163 @@ +Depression Predition Api · DeepAffects

Depression Predition Api

Predict whether the audio clip contains a depressed person

+

POST Request

+

POST https://proxy.api.deepaffects.com/audio/custom/ellipsis/api/v1/sync/is_depressed

+

POST https://proxy.api.deepaffects.com/audio/custom/ellipsis/api/v1/async/is_depressed

+ + +

Sample Code

+

Shell

+
curl -X POST "https://proxy.api.deepaffects.com/audio/custom/ellipsis/api/v1/sync/is_depressed?apikey=<ACCESS_TOKEN>" -H 'content-type: application/json' -d @data.json
+
+curl -X POST "https://proxy.api.deepaffects.com/audio/custom/ellipsis/api/v1/async/is_depressed?apikey=<ACCESS_TOKEN>&webhook=<Your webhook url>&request_id=abcd-1234" -H 'content-type: application/json' -d @data.json
+
+# contents of data.json
+{"content": "bytesEncodedAudioString", "sampleRate": 8000, "encoding": "FLAC", "languageCode": "en-US"}
+
+

Javascript

+
var DeepAffects = require("deep-affects");
+var defaultClient = DeepAffects.ApiClient.instance;
+
+// Configure API key authorization: UserSecurity
+var UserSecurity = defaultClient.authentications["UserSecurity"];
+UserSecurity.apiKey = "<ACCESS_TOKEN>";
+
+var apiInstance = new DeepAffects.EllipsisApi();
+
+var body = DeepAffects.Audio.fromFile("/path/to/file"); // {Audio} Audio object
+
+var callback = function(error, data, response) {
+  if (error) {
+    console.error(error);
+  } else {
+    console.log("API called successfully. Returned data: " + data);
+  }
+};
+
+// sync request
+apiInstance.syncIsDepressed(body, callback);
+
+// async request
+
+apiInstance.asyncIsDepressed(body, callback);
+
+

Python

+
from __future__ import print_statement
+import time
+import deepaffects
+from deepaffects.rest import ApiException
+from pprint import pprint
+
+# Configure API key authorization: UserSecurity
+deepaffects.configuration.api_key = '<ACCESS_TOKEN>'
+
+# create an instance of the API class
+api_instance = deepaffects.EllipsisApi()
+body = deepaffects.Audio.from_file("/path/to/file") # Audio | Audio object that needs to be featurized.
+
+# sync request
+api_response = api_instance.sync_is_depressed(body)
+pprint(api_response)
+
+# async request
+webhook = 'https://your/webhook/' # str | The webhook url where result from async resource is posted
+request_id = 'request_id_example' # str | Unique identifier for the request (optional)
+
+api_response = api_instance.async_is_depressed(body, webhook, request_id=request_id)
+pprint(api_response)
+
+
# The above sync request returns output:
+
+True
+
+# The above async request returns output:
+{
+  "request_id": "8bdd983a-c6bd-4159-982d-6a2471406d62",
+  "api": "/api/v1/async/is_depressed"
+}
+
+# The response on the webhook url:
+{
+  "request_id": "8bdd983a-c6bd-4159-982d-6a2471406d62",
+  "depressed": True
+}
+
+

Body Parameters

+ + + + + + + + + + +
ParameterTypeDescriptionNotes
encodingStringEncoding of audio file like MP3, WAV etc.
sampleRateNumberSample rate of the audio file.
languageCodeStringLanguage spoken in the audio file.[default to 'en-US']
contentStringbase64 encoding of the audio file.
+

Query Parameters

+ + + + + + + + + +
ParameterTypeDescriptionNotes
api_keyStringThe apikeyRequired for authentication inside all requests
webhookStringThe webhook url at which the responses will be sentRequired for async requests
request_idNumberAn optional unique id to link async response with the original requestOptional
+

Output Parameters (Sync)

+ + + + + + + +
ParameterTypeDescriptionNotes
depressedBooleanWhether the clip contains a person who is depressed.
+

Output Parameters (Async)

+ + + + + + + + +
ParameterTypeDescriptionNotes
request_idStringThe request idThis defaults to the originally sent id or is generated by the api
apiStringThe api method which was called
+

Output Parameters (Webhook)

+ + + + + + + + +
ParameterTypeDescriptionNotes
request_idStringThe request idThis the indentifier to link back with the original request
depressedBooleanWhether the clip contains a person who is depressed.
+
← Realtime Speaker Identification ApiText Emotion Recognition Api →
\ No newline at end of file diff --git a/docs/emotion-recognition-api.html b/docs/emotion-recognition-api.html new file mode 100644 index 0000000..dabdf33 --- /dev/null +++ b/docs/emotion-recognition-api.html @@ -0,0 +1,82 @@ +Emotion Recognition Api · DeepAffects

Emotion Recognition Api

Extract basic emotions from the audio file

+

POST Request

+

POST https://proxy.api.deepaffects.com/audio/generic/api/v2/sync/recognise_emotion

+

POST https://proxy.api.deepaffects.com/audio/generic/api/v2/async/recognise_emotion

+

Sample Code

+

Shell

+
curl -X POST "https://proxy.api.deepaffects.com/audio/generic/api/v2/sync/recognise_emotion?apikey=<ACCESS_TOKEN>" -H 'content-type: application/json' -d @data.json
+
+curl -X POST "https://proxy.api.deepaffects.com/audio/generic/api/v2/async/recognise_emotion?apikey=<ACCESS_TOKEN>&webhook=<Your webhook url>&request_id=abcd-1234" -H 'content-type: application/json' -d @data.json
+
+# contents of data.json
+{"content": "bytesEncodedAudioString", "sampleRate": 8000, "encoding": "FLAC", "languageCode": "en-US"}
+
+

Body Parameters

+ + + + + + + + + + +
ParameterTypeDescriptionNotes
encodingStringEncoding of audio file like MP3, WAV etc.
sampleRateNumberSample rate of the audio file.
languageCodeStringLanguage spoken in the audio file.[default to 'en-US']
contentStringbase64 encoding of the audio file.
+

Query Parameters

+ + + + + + + + + +
ParameterTypeDescriptionNotes
api_keyStringThe apikeyRequired for authentication inside all requests
webhookStringThe webhook url at which the responses will be sentRequired for async requests
request_idNumberAn optional unique id to link async response with the original requestOptional
+

Output Parameters

+

Output is the list of emotion scores. The parameters in emotion scores are as follows:

+ + + + + + + + + +
ParameterTypeDescriptionNotes
emotionStringType of emotion like Happy, Sad, Surprised etc.
startFloatStart of the audio segment.
endFloatend of the audio segment.
+

Output Parameters (Async)

+ + + + + + + + +
ParameterTypeDescriptionNotes
request_idStringThe request idThis defaults to the originally sent id or is generated by the api
apiStringThe api method which was called
+
← Paralinguistic Feature Extraction ApiRealtime Emotion Recognition Api →
\ No newline at end of file diff --git a/docs/errors.html b/docs/errors.html new file mode 100644 index 0000000..9630531 --- /dev/null +++ b/docs/errors.html @@ -0,0 +1,66 @@ +Errors · DeepAffects

Errors

Our API returns standard HTTP success or error status codes. For errors, we will also include extra information about what went wrong encoded in the response as JSON. The various HTTP status codes we might return are listed below.

+

HTTP Status codes

+ + + + + + + + + + + + + +
Status CodeTitleDescription
200OKThe request was successful.
202OKThe async request was successfully accepted
400Bad requestBad request
401Unauthorized<ACCESS_TOKEN> is invalid.
402Over quotaOver plan quota on this endpoint.
404Not foundThe resource does not exist.
50XInternal Server ErrorAn error occurred with our API.
+

Error types

+
+

Example error response.

+
+
{
+  "fault": {
+    "faultstring": "Invalid ApiKey",
+    "detail": {
+      "errorcode": "oauth.v2.InvalidApiKey"
+    }
+  }
+}
+
+

All errors are returned in the form of JSON with a type and optional message.

+ + + + + + + + + + + +
TypeDescription
params_invalidYour parameters were not valid.
unknown_routeURL was not valid.
queuedLookup queued. Try this request again in a few minutes.
rate_limitThe request has been rate limited.
api_errorInternal API error.
+
← AuthenticationConcepts →
\ No newline at end of file diff --git a/docs/introduction.html b/docs/introduction.html new file mode 100644 index 0000000..18ed83f --- /dev/null +++ b/docs/introduction.html @@ -0,0 +1,27 @@ +Introduction · DeepAffects

Introduction

Welcome to the DeepAffects API! You can use this API to access all our API endpoints, such as the Audio Emotion API to analyze the emotion content of the audio clip, or the Denoising API to remove background noise from your audio clip.

+

The Sync and Async API is organized around REST. All requests should be made over SSL. All request and response bodies, including errors, are encoded in JSON.

+

The Realtime API is organized around GRPC. All requests should be made using deepaffects client libraries.

+
Quickstart Guide →
\ No newline at end of file diff --git a/docs/paralinguistic-feature-extraction-api.html b/docs/paralinguistic-feature-extraction-api.html new file mode 100644 index 0000000..bd62f02 --- /dev/null +++ b/docs/paralinguistic-feature-extraction-api.html @@ -0,0 +1,158 @@ +Paralinguistic Feature Extraction Api · DeepAffects

Paralinguistic Feature Extraction Api

POST Request

+

POST https://proxy.api.deepaffects.com/audio/generic/api/v1/sync/featurize

+

POST https://proxy.api.deepaffects.com/audio/generic/api/v1/async/featurize

+

There are two stages in the audio feature extraction methodology:

+
    +
  1. Short-term feature extraction: It splits the input signal into short-term widnows (frames) and computes a number of features for each frame. This process leads to a sequence of short-term feature vectors for the whole signal.
    2. +
  2. Mid-term feature extraction: Extracts a number of statistcs (e.g. mean and standard deviation) over each short-term feature sequence.
    3. +
+

Sample Code

+

Shell

+
curl -X POST "https://proxy.api.deepaffects.com/audio/generic/api/v1/sync/featurize?apikey=<ACCESS_TOKEN>" -H 'content-type: application/json' -d @data.json
+
+curl -X POST "https://proxy.api.deepaffects.com/audio/generic/api/v1/async/featurize?apikey=<ACCESS_TOKEN>&webhook=<Your webhook url>&request_id=abcd-1234" -H 'content-type: application/json' -d @data.json
+
+# contents of data.json
+{"content": "bytesEncodedAudioString", "sampleRate": 8000, "encoding": "FLAC", "languageCode": "en-US"}
+
+

Python

+
import deepaffects
+from deepaffects.rest import ApiException
+from pprint import pprint
+
+# Configure API key authorization: UserSecurity
+deepaffects.configuration.api_key['apikey'] = '<ACCESS_TOKEN>'
+
+# create an instance of the API class
+api_instance = deepaffects.FeaturizeApi()
+body = deepaffects.Audio.from_file('/path/to/file') # Audio | Audio object that needs to be featurized.
+
+try:
+    # featurize an audio file
+    api_response = api_instance.sync_featurize_audio(body)
+    pprint(api_response)
+except ApiException as e:
+    print("Exception when calling FeaturizeApi->sync_featurize_audio: %s\n" % e)
+
+# async request
+webhook = 'https://your/webhook/' # str | The webhook url where result from async resource is posted
+request_id = 'request_id_example' # str | Unique identifier for the request (optional)
+
+try:
+    # featurize an audio file
+    api_response = api_instance.async_featurize_audio(body, webhook, request_id=request_id)
+    pprint(api_response)
+except ApiException as e:
+    print("Exception when calling FeaturizeApi->async_featurize_audio: %s\n" % e)
+
+

Javascript

+
var DeepAffects = require("deep-affects");
+var defaultClient = DeepAffects.ApiClient.instance;
+
+// Configure API key authorization: UserSecurity
+var UserSecurity = defaultClient.authentications["UserSecurity"];
+UserSecurity.apiKey = "<ACCESS_TOKEN>";
+
+var apiInstance = new DeepAffects.FeaturizeApi();
+
+var body = DeepAffects.Audio.fromFile("/path/to/file"); // {Audio} Audio object
+
+var callback = function(error, data, response) {
+  if (error) {
+    console.error(error);
+  } else {
+    console.log("API called successfully. Returned data: " + data);
+  }
+};
+
+// sync request
+apiInstance.syncFeaturizeAudio(body, callback);
+
+// async request
+webhook = "http://your/webhook/";
+apiInstance.asyncFeaturizeAudio(body, webhook, callback);
+
+

Shell

+
# The above command returns output:
+
+{"mfccs": [[0.1, 0.3, ..], [0.9, 0.2, ..], [0.1, 0.2, ..]], "zcr": [0.1, 0.2, ..], "energy": [0.3, 0.4, ..]}
+
+

Body Parameters

+ + + + + + + + + + +
ParameterTypeDescriptionNotes
encodingStringEncoding of audio file like MP3, WAV etc.
sampleRateNumberSample rate of the audio file.
languageCodeStringLanguage spoken in the audio file.[default to 'en-US']
contentStringbase64 encoding of the audio file.
+

Query Parameters

+ + + + + + + + + +
ParameterTypeDescriptionNotes
api_keyStringThe apikeyRequired for authentication inside all requests
webhookStringThe webhook url at which the responses will be sentRequired for async requests
request_idNumberAn optional unique id to link async response with the original requestOptional
+

Output Parameters

+ + + + + + + + + +
NameTypeDescriptionNotes
mfccs[[Number]]mel frequency cepstral coefficients
zcr[Number]zero crossing rate
energy[Number]energy
+

Available Short Term Features

+ + + + + + + + + +
Feature IDFeature NameDescription
Zero Crossing RateThe rate of sign-changes of the signal during the duration of a particular frame.
EnergyThe sum of squares of the signal values, normalized by the respective frame length.
MFCCsMel Frequency Cepstral Coefficients form a cepstral representation where the frequency bands are not linear but distributed according to the mel-scale.
+

Output Parameters (Async)

+ + + + + + + + +
ParameterTypeDescriptionNotes
request_idStringThe request idThis defaults to the originally sent id or is generated by the api
apiStringThe api method which was called
+
← Speaker Diarization ApiEmotion Recognition Api →
\ No newline at end of file diff --git a/docs/quick-start.html b/docs/quick-start.html new file mode 100644 index 0000000..83d1ab6 --- /dev/null +++ b/docs/quick-start.html @@ -0,0 +1,43 @@ +Quickstart Guide · DeepAffects

Quickstart Guide

Setting up

+
    +

  1. First time users: If you want to use DeepAffects's public API, you must have a free account and API key. To create an account and receive <ACCESS_TOKEN> register at our developer portal. Once registered, an API Key will be auto-generated for you. Use this API Key in place of <ACCESS_TOKEN> in the examples below.

    2. +

  2. Returning users: If you already have an account, you can always retrieve <ACCESS_TOKEN> and manage your API usage on your DeepAffects dashboard after logging in.

    3. +
+

Choose API Product

+

Currently, deepaffects provides 2 audio based products:

+
    +

  1. Generic Audio Analysis: This product contains APIs like: Denoising API, Speaker Diarization API, Paralinguistic Feature Extraction API, Emotion Extraction API. The APIs in this product are available for use to all developers. The developer has the ability to activate only specific set of APIs by switching them on in the dashboard.

    2. +

  2. Custom Audio Analysis: This product contains custom API's built exclusively for clients. These API's are approved for usage only for the specific clients.

    3. +
+

Choose your language

+

For your convenience, DeepAffects has provided native language bindings in Python and NodeJs! You can view code examples in the dark area to the right, and you can switch the programming language of the examples with the tabs in the top right.

+

Don't worry If the programming language you want to use DeepAffects with is not listed, the DeepAffects suite of emotion APIs can also be used directly through RESTful API calls, just use the shell tab on the right to check the equivalent cURL command for the API endpoint

+

Installation

+
    +
  1. Python: The python client source can be found at github. The installation instruction can be found in the readme.
    2. +
  2. Nodejs: The nodejs api client source can be found at github. The installation instruction can be found in the readme.
    3. +
+
← IntroductionAuthentication →
\ No newline at end of file diff --git a/docs/realtime-emotion-recognition-api.html b/docs/realtime-emotion-recognition-api.html new file mode 100644 index 0000000..9037b7e --- /dev/null +++ b/docs/realtime-emotion-recognition-api.html @@ -0,0 +1,131 @@ +Realtime Emotion Recognition Api · DeepAffects

Realtime Emotion Recognition Api

Extract basic emotions from the audio file in realtime

+

Grpc Call

+

client.IdentifyEmotion( chunk_generator(), TIMEOUT_SECONDS, metadata=metadata)

+

Sample Code

+

Python

+
from deepaffects.realtime.util import chunk_generator_from_file, chunk_generator_from_url, get_deepaffects_client
+
+TIMEOUT_SECONDS = 2000
+apikey = "YOUR_API_KEY"
+
+# Set file_path as local file path or audio stream or youtube url
+file_path = "FILE_PATH"
+
+# Set is_youtube_url True while streaming from youtube url
+is_youtube_url = False
+languageCode = "en-Us"
+sampleRate = "16000"
+encoding = "wav"
+
+# DeepAffects realtime Api client
+client = get_deepaffects_client()
+
+metadata = [
+    ('apikey', apikey),
+    ('encoding', encoding),
+    ('samplerate', sampleRate),
+    ('languagecode', languageCode)
+]
+
+"""Generator Function
+
+chunk_generator_from_file is the Sample implementation for generator funcion which reads audio from a file and splits it into
+base64 encoded audio segment of more than 3 sec
+and yields SegmentChunk object using segment_chunk
+
+"""
+
+# from deepaffects.realtime.types import segment_chunk
+# segment_chunk(Args)
+
+"""segment_chunk.
+
+Args:
+    encoding : Audio Encoding,
+    languageCode: language code ,
+    sampleRate: sample rate of audio ,
+    content: base64 encoded audio,
+    segmentOffset: offset of the segment in complete audio stream
+"""
+
+# Call client api function with generator and metadata
+
+responses = client.IdentifyEmotion(
+    # Use chunk_generator_from_file generator to stream from local file
+    chunk_generator_from_file(file_path),
+    # Use chunk_generator_from_url generator to stream from remote url or youtube with is_youtube_url set to true
+    # chunk_generator_from_url(file_path, is_youtube_url=is_youtube_url),
+     TIMEOUT_SECONDS, metadata=metadata)
+
+# responses is the iterator for all the response values
+for response in responses:
+    print("Received message",response)
+
+"""Response.
+    response = {
+        emotion: Emotion identified in the segment,
+        start: start of the segment,
+        end: end of the segment
+    }
+"""
+
+

Metadata Parameters

+

Metadata params are set once for an api call :

+ + + + + + + + + + +
ParameterTypeDescriptionNotes
apikeyStringApikey obtained from developer portslRequired for authentication inside all requests
encodingStringEncoding of audio file like MP3, WAV etc.
sampleRateNumberSample rate of the audio file.
languageCodeStringLanguage spoken in the audio file.[default to 'en-US']
+

Segment Parameters

+ + + + + + + + + +
ParameterTypeDescriptionNotes
contentStringbase64 encoding of the audio segment.
offsetNumberSegment offset from start of the audio.
durationNumberDuration of chunkoptional
+

Output Response Stream

+

Output is the iterator streaming response objects with following parameters:

+ + + + + + + + + +
ParameterTypeDescriptionNotes
emotionStringType of emotion like Happy, Sad, Surprised etc.
startFloatStart of the audio segment.
endFloatend of the audio segment.
+
← Emotion Recognition ApiSpeaker Enrollment Api →
\ No newline at end of file diff --git a/docs/realtime-speaker-identification-api.html b/docs/realtime-speaker-identification-api.html new file mode 100644 index 0000000..731291a --- /dev/null +++ b/docs/realtime-speaker-identification-api.html @@ -0,0 +1,133 @@ +Realtime Speaker Identification Api · DeepAffects

Realtime Speaker Identification Api

Identify speakers from the audio file in realtime

+

Grpc Call

+

client.IdentifySpeaker( chunk_generator(), TIMEOUT_SECONDS, metadata=metadata)

+

Sample Code

+

Python

+
from deepaffects.realtime.util import chunk_generator_from_file, chunk_generator_from_url, get_deepaffects_client
+
+TIMEOUT_SECONDS = 2000
+apikey = "YOUR_API_KEY"
+# Set file_path as local file path or audio stream or youtube url
+file_path = "FILE_PATH"
+
+# Set is_youtube_url True while streaming from youtube url
+is_youtube_url = False
+languageCode = "en-Us"
+sampleRate = "16000"
+encoding = "wav"
+speakerIds = "list of speakerIds to be identified seperated by ','"
+
+# DeepAffects realtime Api client
+client = get_deepaffects_client()
+
+metadata = [
+    ('apikey', apikey),
+    ('speakerids', speakerIds),
+    ('encoding', encoding),
+    ('samplerate', sampleRate),
+    ('languagecode', languageCode)
+]
+
+"""Generator Function
+
+chunk_generator_from_file is the Sample implementation for generator funcion which reads audio from a file and splits it into
+base64 encoded audio segment of more than 3 sec
+and yields SegmentChunk object using segment_chunk
+"""
+
+# from deepaffects.realtime.types import segment_chunk
+# segment_chunk(Args)
+
+"""segment_chunk.
+
+Args:
+    encoding : Audio Encoding,
+    languageCode: language code ,
+    sampleRate: sample rate of audio ,
+    content: base64 encoded audio,
+    segmentOffset: offset of the segment in complete audio stream
+"""
+
+# Call client api function with generator and metadata
+
+responses = client.IdentifySpeaker(
+    # Use chunk_generator_from_file generator to stream from local file
+    chunk_generator_from_file(file_path),
+    # Use chunk_generator_from_url generator to stream from remote url or youtube with is_youtube_url set to true
+    # chunk_generator_from_url(file_path, is_youtube_url=is_youtube_url),
+     TIMEOUT_SECONDS, metadata=metadata)
+
+
+# responses is the iterator for all the response values
+for response in responses:
+    print("Received message",response)
+
+"""Response.
+    response = {
+        speakerId: speakerId identified in the segment,
+        start: start of the segment,
+        end: end of the segment
+    }
+"""
+
+

Metadata Parameters

+

Metadata params are set once for an api call :

+ + + + + + + + + + + +
ParameterTypeDescriptionNotes
apikeyStringApikey obtained from developer portslRequired for authentication inside all requests
encodingStringEncoding of audio file like MP3, WAV etc.
sampleRateNumberSample rate of the audio file.
languageCodeStringLanguage spoken in the audio file.[default to 'en-US']
speakerIdsStringlist of speakerIds to identify seperated by ','.
+

Segment Parameters

+ + + + + + + + + +
ParameterTypeDescriptionNotes
contentStringbase64 encoding of the audio segment.
offsetNumberSegment offset from start of the audio.
durationNumberDuration of chunkoptional
+

Output Response Stream

+

Output is the iterator streaming response objects with fowllowing parameters:

+ + + + + + + + + +
ParameterTypeDescriptionNotes
speaker_idStringspeaker_id of the identified speaker.
startFloatStart of the audio segment.
endFloatend of the audio segment.
+
← Speaker Identification ApiDepression Predition Api →
\ No newline at end of file diff --git a/docs/speaker-diairization-api.html b/docs/speaker-diairization-api.html new file mode 100644 index 0000000..e14aa72 --- /dev/null +++ b/docs/speaker-diairization-api.html @@ -0,0 +1,150 @@ +Speaker Diarization Api · DeepAffects

Speaker Diarization Api

This API tries to figure out "Who Speaks When". +Splits audio clip into segments corresponding to a unique speaker

+

POST Request

+

POST https://proxy.api.deepaffects.com/audio/generic/api/v2/async/diarize

+

Sample Code

+

Shell

+
curl -X POST "https://proxy.api.deepaffects.com/audio/generic/api/v2/async/diarize?apikey=<ACCESS_TOKEN>&webhook=<WEBHOOK_URL>&request_id=<REQUEST_ID>" -H 'content-type: application/json' -d @data.json
+
+# contents of data.json
+{"content": "bytesEncodedAudioString", "sampleRate": 8000, "encoding": "FLAC", "languageCode": "en-US", "speakers": 2}
+
+

Javascript

+
var DeepAffects = require("deep-affects");
+var defaultClient = DeepAffects.ApiClient.instance;
+
+// Configure API key authorization: UserSecurity
+var UserSecurity = defaultClient.authentications["UserSecurity"];
+UserSecurity.apiKey = "<ACCESS_TOKEN>";
+
+var apiInstance = new DeepAffects.DiarizeApiV2();
+
+var body = DeepAffects.DiarizeAudio.fromFile("/path/to/file"); // DiarizeAudio | Audio object that needs to be diarized.
+
+var callback = function(error, data, response) {
+  if (error) {
+    console.error(error);
+  } else {
+    console.log("API called successfully. Returned data: " + data);
+  }
+};
+
+webhook = "https://your/webhook/";
+// async request
+apiInstance.asyncDiarizeAudio(body, webhook, callback);
+
+

Python

+
import deepaffects
+from deepaffects.rest import ApiException
+from pprint import pprint
+
+# Configure API key authorization: UserSecurity
+deepaffects.configuration.api_key['apikey'] = '<ACCESS_TOKEN>'
+
+# create an instance of the API class
+api_instance = deepaffects.DiarizeApiV2()
+body = deepaffects.DiarizeAudio.fromFile("/path/to/file") # DiarizeAudio | Audio object that needs to be diarized.
+webhook = 'https://your/webhook/' # str | The webhook url where result from async resource is posted
+request_id = 'request_id_example' # str | Unique identifier for the request (optional)
+
+try:
+    api_response = api_instance.async_diarize_audio(body, webhook, request_id=request_id)
+    pprint(api_response)
+except ApiException as e:
+    print("Exception when calling DiarizeApiV2->async_diarize_audio: %s\n" % e)
+
+
# The above command returns output:
+{
+  "request_id": "request_id_example",
+  "api": "/audio/generic/api/v2/async/diarize"
+}
+
+

Body Parameters

+ + + + + + + + + + + +
ParameterTypeDescriptionNotes
encodingStringEncoding of audio file like MP3, WAV etc.
sampleRateNumberSample rate of the audio file.
languageCodeStringLanguage spoken in the audio file.[default to 'en-US']
contentStringbase64 encoding of the audio file.
speakersNumberNumber of speakers in the file (-1 for unknown speakers)[default to -1]
+

Query Parameters

+ + + + + + + + + +
ParameterTypeDescriptionNotes
api_keyStringThe apikeyRequired for authentication inside all requests
webhookStringThe webhook url at which the responses will be sentRequired for async requests
request_idNumberAn optional unique id to link async response with the original requestOptional
+

Output Parameters (Async)

+ + + + + + + + +
ParameterTypeDescriptionNotes
request_idStringThe request idThis defaults to the originally sent id or is generated by the api
apiStringThe api method which was called
+

Output Parameters (Webhook)

+ + + + + + + + +
ParameterTypeDescriptionNotes
request_idStringThe request idThis defaults to the originally sent id or is generated by the api
responseObjectThe actual output of the diarizationThe Diarized object is defined below
+

Diarized Object

+ + + + + + + + +
ParameterTypeDescriptionNotes
num_speakersNumberThe number of speakers detectedThe number of speaker will be detected only when the request set speakers to -1
segmentsListList of diarized segmentsThe Diarized Segment is defined below
+

Diarized Segment

+ + + + + + + + + +
ParameterTypeDescriptionNotes
speaker_idNumberThe speaker id for the corresponding audio segment
startNumberStart time of the audio segment in seconds
endNumberEnd time of the audio segment in seconds
+
← Audio Denoising ApiParalinguistic Feature Extraction Api →
\ No newline at end of file diff --git a/docs/speaker-enrollment-api.html b/docs/speaker-enrollment-api.html new file mode 100644 index 0000000..b4f77ca --- /dev/null +++ b/docs/speaker-enrollment-api.html @@ -0,0 +1,113 @@ +Speaker Enrollment Api · DeepAffects

Speaker Enrollment Api

Speaker Enrollment API for Identification (REST Api)

+

This API enrolls user for speaker identification api

+

POST Request

+

POST https://proxy.api.deepaffects.com/audio/generic/api/v1/sync/diarization/enroll

+

Sample Code

+
curl -X POST "https://proxy.api.deepaffects.com/audio/generic/api/v1/sync/diarization/enroll?apikey=<ACCESS_TOKEN>" -H 'content-type: application/json' -d @data.json
+
+# contents of data.json
+{"content": "bytesEncodedAudioString", "sampleRate": 8000, "encoding": "FLAC", "languageCode": "en-US", "speakerId": "user1" }
+
+
# The above command returns output:
+{
+  "message": "Success"
+}
+
+

Body Parameters

+ + + + + + + + + + + +
ParameterTypeDescriptionNotes
encodingStringEncoding of audio file like MP3, WAV etc.
sampleRateNumberSample rate of the audio file.
languageCodeStringLanguage spoken in the audio file.[default to 'en-US']
contentStringbase64 encoding of the audio file.
speakerIdStringspeaker id tobe registered
+

Query Parameters

+ + + + + + + +
ParameterTypeDescriptionNotes
api_keyStringThe apikeyRequired for authentication inside all requests
+

Output Parameters (Sync)

+ + + + + + + +
ParameterTypeDescriptionNotes
messageStringStatus of enrollment Success or CompleteSuccess: Current enrollment is successfull, Complete: Enrollment is completed, Repeat the enrollments with different audio samples until Complete message is received
+

Speaker Enrollment Delete API for Identification (REST Api)

+

This API deletes speaker enrollment for the user

+

POST Request

+

POST https://proxy.api.deepaffects.com/audio/generic/api/v1/sync/diarization/delete

+

Sample Code

+

Shell

+
curl -X POST "https://proxy.api.deepaffects.com/audio/generic/api/v1/sync/diarization/delete?apikey=<ACCESS_TOKEN>" -H 'content-type: application/json' -d @data.json
+
+# contents of data.json
+{"speakerId": "user1"}
+
+
# The above command returns output:
+{
+  "message": "Success"
+}
+
+

Body Parameters

+ + + + + + + +
ParameterTypeDescriptionNotes
speakerIdStringspeaker id tobe registered
+

Query Parameters

+ + + + + + + +
ParameterTypeDescriptionNotes
api_keyStringThe apikeyRequired for authentication inside all requests
+

Output Parameters (Sync)

+ + + + + + + +
ParameterTypeDescriptionNotes
messageStringStatus of enrollmentThis defaults to the originally sent id or is generated by the api
+
← Realtime Emotion Recognition ApiSpeaker Identification Api →
\ No newline at end of file diff --git a/docs/speaker-identification-api.html b/docs/speaker-identification-api.html new file mode 100644 index 0000000..256c9b7 --- /dev/null +++ b/docs/speaker-identification-api.html @@ -0,0 +1,118 @@ +Speaker Identification Api · DeepAffects

Speaker Identification Api

This API tries to figure out "Who Speaks When" for already enrolled speakers. +Splits audio clip into segments corresponding to a unique speaker and returns start and end of the segment

+

POST Request

+

Async

+


+POST https://proxy.api.deepaffects.com/audio/generic/api/v1/async/diarization/identify - Low latency, Good accuracy +
+POST https://proxy.api.deepaffects.com/audio/generic/api/v2/async/diarization/identify - More latency, Better accuracy +
+POST https://proxy.api.deepaffects.com/audio/generic/api/v3/async/diarization/identify - High latency, Best accuracy +

+

Sync

+


+POST https://proxy.api.deepaffects.com/audio/generic/api/v1/sync/diarization/identify - Low latency, Good accuracy +
+POST https://proxy.api.deepaffects.com/audio/generic/api/v2/sync/diarization/identify - High latency, Best accuracy

+

Sample Code

+

Shell

+
curl -X POST "https://proxy.api.deepaffects.com/audio/generic/api/v3/async/diarization/identify?apikey=<ACCESS_TOKEN>&webhook=<WEBHOOK_URL>&request_id=<REQUEST_ID>" -H 'content-type: application/json' -d @data.json
+
+curl -X POST "https://proxy.api.deepaffects.com/audio/generic/api/v2/sync/diarization/identify?apikey=<ACCESS_TOKEN>" -H 'content-type: application/json' -d @data.json
+
+# contents of data.json
+{"content": "bytesEncodedAudioString", "sampleRate": 8000, "encoding": "FLAC", "languageCode": "en-US", speakerIds: ["user1"]}
+
+
# The above command returns output ( Async ):
+{
+  "request_id": "request_id_example",
+  "api": "/audio/generic/api/v3/async/diarization/identify"
+}
+# The above command returns output ( Sync ):
+[
+  {
+  "speakerId": "user1",
+  "start": 0,
+  "end": 2
+  }
+]
+
+

Body Parameters

+ + + + + + + + + + + +
ParameterTypeDescriptionNotes
encodingStringEncoding of audio file like MP3, WAV etc.
sampleRateNumberSample rate of the audio file.
languageCodeStringLanguage spoken in the audio file.[default to 'en-US']
contentStringbase64 encoding of the audio file.
speakerIdsList[String]List of enrolled speakers to identify
+

Query Parameters

+ + + + + + + + + +
ParameterTypeDescriptionNotes
api_keyStringThe apikeyRequired for authentication inside all requests
webhookStringThe webhook url at which the responses will be sentRequired for async requests
request_idNumberAn optional unique id to link async response with the original requestOptional
+

Output Parameters (Async)

+ + + + + + + + +
ParameterTypeDescriptionNotes
request_idStringThe request idThis defaults to the originally sent id or is generated by the api
apiStringThe api method which was called
+

Output Parameters (Webhook)

+ + + + + + + + +
ParameterTypeDescriptionNotes
request_idStringThe request idThis defaults to the originally sent id or is generated by the api
segmentsListList of identified segmentsThe Speaker Identification Segment object is defined below
+

Speaker Identification Segment

+ + + + + + + + + +
ParameterTypeDescriptionNotes
speaker_idStringspeaker id of the identified speaker.
startFloatStart of the audio segment.
endFloatend of the audio segment.
+
← Speaker Enrollment ApiRealtime Speaker Identification Api →
\ No newline at end of file diff --git a/docs/text-emotion-recognition-api.html b/docs/text-emotion-recognition-api.html new file mode 100644 index 0000000..df71823 --- /dev/null +++ b/docs/text-emotion-recognition-api.html @@ -0,0 +1,112 @@ +Text Emotion Recognition Api · DeepAffects

Text Emotion Recognition Api

Extract basic emotions from the text input

+

POST Request

+

POST https://proxy.api.deepaffects.com/text/generic/api/latest/sync/text_recognise_emotion

+

Sample Code

+

Javascript

+
var DeepAffects = require("deep-affects");
+var defaultClient = DeepAffects.ApiClient.instance;
+
+// Configure API key authorization: UserSecurity
+var UserSecurity = defaultClient.authentications["UserSecurity"];
+UserSecurity.apiKey = "YOUR API KEY";
+
+var apiInstance = new DeepAffects.EmotionApi();
+
+var body = {
+  content: "YOUR_TEXT"
+};
+
+var callback = function(error, data, response) {
+  if (error) {
+    console.error(error);
+  } else {
+    console.log("API called successfully. Returned data: " + data);
+  }
+};
+// sync request
+apiInstance.syncRecogniseTextEmotion(body, callback);
+
+

Shell

+
curl -X POST "https://proxy.api.deepaffects.com/text/generic/api/latest/sync/text_recognise_emotion?apikey=<ACCESS_TOKEN>" -H 'content-type: application/json' -d @data.json
+
+
+# contents of data.json
+{
+  "content": "YOUR_TEXT"
+}
+
+

Python

+
from __future__ import print_statement
+import deepaffects
+from deepaffects.rest import ApiException
+from pprint import pprint
+
+# Configure API key authorization: UserSecurity
+deepaffects.configuration.api_key['apikey'] = '<ACCESS_TOKEN>'
+
+# create an instance of the API class
+api_instance = deepaffects.EmotionApi()
+var body = {
+  "content": "YOUR_TEXT" # Text that needs to be featurized
+}
+
+try:
+    # Find emotion in text
+    api_response = api_instance.sync_text_recognise_emotion(body)
+    pprint(api_response)
+except ApiException as e:
+    print("Exception when calling EmotionApi->sync_recognise_emotion: %s\n" % e)
+
+

Body Parameters

+ + + + + + + +
ParameterTypeDescriptionNotes
contentStringText.
+

Query Parameters

+ + + + + + + +
ParameterTypeDescriptionNotes
api_keyStringThe apikeyRequired for authentication inside all requests
+

Output Parameters

+

Output is the list of emotion scores. The parameters in emotion scores are as follows:

+ + + + + + + + +
ParameterTypeDescriptionNotes
versionStringAPI Version.
responseObjectObject with emotion and scores.
+
← Depression Predition Api
\ No newline at end of file diff --git a/en/help.html b/en/help.html new file mode 100644 index 0000000..2332f3b --- /dev/null +++ b/en/help.html @@ -0,0 +1,7 @@ +DeepAffects · AI platform for developers

Need help?

This project is maintained by a dedicated group of people.

Browse Docs

+

Learn more using the documentation on this site.

+

Join the community

+

Ask questions about the documentation and project

+

Stay up to date

+

Find out what's new with this project

+
\ No newline at end of file diff --git a/en/users.html b/en/users.html new file mode 100644 index 0000000..91ccba5 --- /dev/null +++ b/en/users.html @@ -0,0 +1 @@ +DeepAffects · AI platform for developers

Who's Using This?

This project is used by many folks

User1

Are you using this project?

Add your company
\ No newline at end of file diff --git a/help.html b/help.html new file mode 100644 index 0000000..bfe993f --- /dev/null +++ b/help.html @@ -0,0 +1,7 @@ +DeepAffects · AI platform for developers

Need help?

This project is maintained by a dedicated group of people.

Browse Docs

+

Learn more using the documentation on this site.

+

Join the community

+

Ask questions about the documentation and project

+

Stay up to date

+

Find out what's new with this project

+
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\ No newline at end of file From 9550eacb66b37cd5ee1953ebbe5e847d70de267f Mon Sep 17 00:00:00 2001 From: Sushant Hiray Date: Wed, 15 Aug 2018 08:37:14 +0530 Subject: [PATCH 02/20] rebuild pages From 9657f21afda39fdb1f03a9178ca1634016f1084d Mon Sep 17 00:00:00 2001 From: Vivek Nimkarde Date: Wed, 15 Aug 2018 08:54:57 +0530 Subject: [PATCH 03/20] Deploy website Deploy website version based on 369e38663222a3e43032b37cca9d6cdd1f83b8c9 --- docs/audio-denoising-api.html | 2 +- docs/authentication.html | 2 +- docs/concepts.html | 2 +- docs/depression-prediction-api.html | 2 +- docs/emotion-recognition-api.html | 2 +- docs/errors.html | 2 +- docs/introduction.html | 2 +- docs/paralinguistic-feature-extraction-api.html | 2 +- docs/quick-start.html | 2 +- docs/realtime-emotion-recognition-api.html | 2 +- docs/realtime-speaker-identification-api.html | 2 +- docs/speaker-diairization-api.html | 2 +- docs/speaker-enrollment-api.html | 2 +- docs/speaker-identification-api.html | 2 +- docs/text-emotion-recognition-api.html | 2 +- en/help.html | 2 +- en/users.html | 2 +- help.html | 2 +- users.html | 2 +- 19 files changed, 19 insertions(+), 19 deletions(-) diff --git a/docs/audio-denoising-api.html b/docs/audio-denoising-api.html index 7cc78a9..3e1e09c 100644 --- a/docs/audio-denoising-api.html +++ b/docs/audio-denoising-api.html @@ -1,4 +1,4 @@ -Audio Denoising Api · DeepAffects