Self-Supervised Speech Pre-training and Representation Learning Toolkit

speech to text with self-supervised learning based on wav2vec 2.0 framework

A live speech recognition using Facebooks wav2vec 2.0 model.

PyTorch implementation of "data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language" from Meta AI

Estimating the Age, Height, and Gender of a speaker with their speech signal. https://arxiv.org/pdf/2110.13653.pdf

Training scripts for Speech-To-Text models for Ukrainian language

Wave2vec 2.0 Recognize pipeline

Wav2vec resources and models for Brazilian Portuguese

Speech to Text with self-supervised learning based on wav2vec 2.0 framework using Hugging Face's Transformer

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

Speeech Recognition for Indic languages.

Fine-tuning wav2vec2 to for Pathological Speech Processing

A library version of wav2vec 2.0 framework for Automatic Speech Recognition task.

Building a speaker identification & verification pipeline for Vietnamese voices 😪

A repo to make installation and training of a wav2vec model easier

This repository contains scripts to prune Wav2vec2 using a neuroevolution-based method. More details about this method can be found in the paper Compressing Wav2vec2 for Embedded Applications.

No api-keys | local | llama3.1 For language studying and live translation

ASR model generates transcription from audio waves, then correct the word spelling

Deep audio modeling