A SOTA Industrial-Grade All-in-One ASR system with ASR, VAD, LID, and Punc modules. FireRedASR2 supports Chinese (Mandarin, 20+ dialects/accents), English, code-switching, and both speech and singing ASR. FireRedVAD supports speech/singing/music in 100+ langs. FireRedLID supports 100+ langs and 20+ zh dialects. FireRedPunc supports zh and en.

a minimalistic go library/app to keep your mac active and alive

[EMNLP 2023] 💬 Language Identification with Support for More Than 2000 Labels

Identify a spoken language using artificial intelligence (LID).

Spoken Language Identification on Common Voice and AudioSet using Deep Learning

The dataset with English, German and Spanish speech samples.

A step-by-step guide to repairing the SurePetcare Feeder Connect when the motor stalls and the lid won’t close."

Language Identification with Facebook FastText for Node.js

Leben In Deutschland is a project aimed at helping individuals prepare for the "Leben In Deutschland" or "Einbürgerungstest" (naturalization test) through interactive content and resources.

Navier-Stokes solver using FDM for 2D Lid driven cavity problem

Geographically-informed language identification

Investigating embedding spaces generated by language models from a topological perspective via local intrinsic dimension (LID).

Switching to the external monitor when lid closed.

Neural net language identification for many languages on short texts plus construction-based dialectometry

INCOMPRESSIBLE FLOW IN LID DRIVEN CAVITY FLOW USING SEMI IMPICIT METHOD FOR PRESSURE CORRECTION

A tiny C++ wrapper around pmset to prevent or enable sleeping with the lid closed on MacBooks

Computing Local Intrinsic Dimensions (LID) to detect Grokking of Transformers.

A pipeline to make ASR datasets better

VS Code, IntelliJ, CLI, and MCP tools for the LID (Linked-Intent Development) methodology — keep design intent permanently linked to running code

Spoken language identification systems (LID) allow for automatic language detection given speech data. Among the many available methods that can be applied to this classification task, modern machine learning and deep learning approaches have been reported as effective. A previous study approached the problem of spoken language identification in…