Voice Activity Detection based on Deep Learning & TensorFlow

End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)

Pytorch and TensorFlow data loaders for several audio datasets

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Python implementation of pre-processing for End-to-End speech recognition

Final project for the Speaker Recognition course on Udemy, 机器之心, 深蓝学院 and 语音之家

End-to-End Speech Recognition Using Tensorflow

Pytorch implementation of conformer with with training script for end-to-end speech recognition on the LibriSpeech dataset.

Automatic speech recognition using neural networks

Speech Recognition Using Tensorflow

Test comparison of two VAD models with English and multilingual speech datasets

Baselines for the Zero-Resources Speech Challenge using VisuallyGrounded Models of Spoken Language, 2021 edition

Few-shot learning experiments mostly on speaker recognition.

A web-app/library for transcribing speech

Scripts to generate the reverberant LibriCHiME-5 dataset.

Gender Classification of the speaker from LibriSpeech Dataset

Replication of Jasper speech-to-text network using Intel optimized TensorFlow.

End to End Automatic Speech Recognition on Librispeech: Pytorch implementation

PyTorch implementation of Transformer-based Automatic Speech Recognition with attention mechanisms, SpecAugment, CTC loss, and mixed precision training. Achieves competitive WER/CER on LibriSpeech.

A useful librispeech project where without using the datastes available in the internet. Here you have to create your own audio files and take them as input to create text as output. There is problem with the dataset available in online this project comes in handy for people who interested in this.