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

Wave2vec 2.0 Recognize pipeline

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.

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

Create high-resolution visually dubbed videos with DINet

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.

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

Production Egyptian Arabic Speech Recognition (ASR) pipeline based on fine-tuned Wav2Vec 2.0 and FastAPI

Deep audio modeling

Interactive AI tool for voice-based interview practice with real-time feedback on grammar, confidence, and performance.

asr for German Language

A collection of speech language models with a focus on acoustic codes