wav2vec2

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.

Self-Supervised Speech Pre-training and Representation Learning Toolkit

How to use our public wav2vec2 dimensional emotion model

A live speech recognition using Facebooks wav2vec 2.0 model.

Python API & command-line tool to easily transcribe speech-based video files into clean text

A tool that transforms audio or video files into text transcripts and generates concise meeting minutes. Stay organized and efficient in your meetings, and get ready for Phase 2 where we'll be open for contributions to enable real-time meeting transcription!

⚡ Finetune Wa2vec 2.0 For Speech Recognition

Official implementation of INTERSPEECH 2021 paper 'Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings'

End-to-End Vietnamese Speech Recognition using wav2vec 2.0

Pytorch implementation of Noisy Student Training for Automatic Speech Recognition and Automatic Pronunciation Error Detection problem

A mental-model-first field guide to Audio AI — from raw waveforms to production voice systems. Covers ASR, TTS, audio classification, Transformer architectures (CTC/Seq2Seq), fine-tuning, and real-world pipelines like voice assistants and meeting transcription. Bilingual (EN/FA).

GSoC'2021 | TensorFlow implementation of Wav2Vec2

A deep learning lyrics-to-audio alignment system, generating synchronized lyrics from a song and its lyrics

Solution for Zalo AI Challenge 2022 - Lyrics Alignment

Wav2vec 2.0 Self-Supervised Pretraining

Implementation of the paper "wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations" in Pytorch.

A mini, simple, and fast end-to-end automatic speech recognition toolkit.

Scripts used in the research described in the paper "Multimodal Emotion Recognition with High-level Speech and Text Features" accepted in the ASRU 2021 conference.

An ASR (Automatic Speech Recognition) adversarial attack repository.

SHAS: Approaching optimal Segmentation for End-to-End Speech Translation