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.

Audio Foundation Models (Self-Supervised Speech/Sound Pre-training and Representation Learning Toolkit)

A live speech recognition using Facebooks wav2vec 2.0 model.

How to use our public wav2vec2 dimensional emotion model

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

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

GSoC'2021 | TensorFlow implementation of Wav2Vec2

End-to-End Vietnamese Speech Recognition using wav2vec 2.0

Solution for Zalo AI Challenge 2022 - Lyrics Alignment

⚡ Finetune Wa2vec 2.0 For Speech Recognition

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

fine-tune Wav2vec2. an ASR model released by Facebook

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.

Phoneme segmentation using pre-trained speech models

Wav2vec resources and models for Brazilian Portuguese

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

Simple Guide How To Build Your Own End-To-End Automatic Speech Recognition System Written In PyTorch

This app is intended to automatically create a corpus for ASR systems using pseudo-labeling.

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

Simple Python library, distributed via binary wheels with few direct dependencies, for easily using wav2vec 2.0 models for speech recognition