Updated 9 months ago

https://github.com/fgnt/meeteval • Rank 14.8 • Science 67%

MeetEval - A meeting transcription evaluation toolkit

Updated 10 months ago

huggingsound • Rank 13.3 • Science 44%

HuggingSound: A toolkit for speech-related tasks based on Hugging Face's tools

Updated 10 months ago

werpy • Rank 12.4 • Science 44%

🐍📦 Ultra-fast Python package for calculating and analyzing the Word Error Rate (WER). Built for the scalable evaluation of speech and transcription accuracy.

Updated 10 months ago

stt • Rank 21.4 • Science 33%

🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.

Updated 10 months ago

https://github.com/ccoreilly/vosk-browser • Rank 17.8 • Science 13%

A speech recognition library running in the browser thanks to a WebAssembly build of Vosk

Updated 10 months ago

NeMo • Science 44%

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

Updated 10 months ago

whisperxtranscription4researchers • Science 44%

This repository contains a Jupyter notebook for qualitative researchers to transcribe, diarize speakers, and convert audio or video files into various text formats (csv, txt, json, & vtt).

Updated 10 months ago

asr-dysarthria • Science 54%

Research on Automatic Speech Recognition for dysarthric speech

Updated 10 months ago

fastaci • Science 49%

fastACI toolbox: the MATLAB toolbox for investigating auditory perception using reverse correlation.

Updated 10 months ago

https://github.com/ai4bharat/chitralekha • Science 13%

Chitralekha - A video transcreation platform for Indic languages, supporting transcription, translation and voice-over

Updated 10 months ago

multilingual-asr • Science 54%

Multilingual Speech Recognition for Indonesian Languages

Updated 10 months ago

speech_data_ghana_ug • Science 57%

The dataset comprises of 5000 hours speech corpus in Akan, Ewe, Dagbani, Daagare, and Ikposo. Each language includes 1000 hours of audio speech from indigenous speakers of the language. Of which 100 hours is transcribed.

Updated 10 months ago

cv10-uk-testset-clean • Science 44%

The cleaned Common Voice 10 (test set) that has been checked by a human for Ukrainian 🇺🇦

Updated 10 months ago

fave-asr • Science 44%

Interface for automated transcription and time alignment of conversational interview data

Updated 10 months ago

nemo • Science 13%

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)