wav2vec

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

Wav2vec resources and models for Brazilian Portuguese

Wave2vec 2.0 Recognize pipeline

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

Fast Speech-to-Text architectures with bindings to all languages

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

Create high-resolution visually dubbed videos with DINet

Evaluating the Effectiveness of Transformer Layers in Wav2Vec 2.0, XLS-R, and Whisper for Speaker Identification Tasks

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

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

Diagnosis of the onset of parkinsons disease, using wav2vec as a feature extractor and a random forest as a classifier. This is an easy to use suite, refer to the README for usage guides.