🔉 spafe: Simplified Python Audio Features Extraction

Extract mfcc vectors and phones from TIMIT dataset

This repository is a curated list of awesome Speech Keyword Spotting (Wake-Up Word Detection).

Pytorch implementation of subband decomposition

Spokestack: give your iOS app a voice interface!

In this work we propose two postprocessing approaches applying convolutional neural networks (CNNs) either in the time domain or the cepstral domain to enhance the coded speech without any modification of the codecs. The time domain approach follows an end-to-end fashion, while the cepstral domain approach uses analysis-synthesis with cepstral d…

IEEE ICASSP 21 - Quantum Convolution Neural Networks for Speech Processing and Automatic Speech Recognition

RETIRED - OpenSTT is now retired. If you would like more information on Mycroft AI's open source STT projects, please visit:

A Convolutional Neural Network based Voice Activity Detector for Smartphones

This is the main repository of open-sourced speech technology by Huawei Noah's Ark Lab.

A data annotation pipeline to generate high-quality, large-scale speech datasets with machine pre-labeling and fully manual auditing.

UniSpeech - Large Scale Self-Supervised Learning for Speech

A Java program to implement a DMTF Decoder.

Spokestack: give your React Native app a voice interface!

The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

a simple speech recognition app using the Web Speech API Interfaces

Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)

Tracking the progress in non-autoregressive generation (translation, transcription, etc.)

💎 A list of accessible speech corpora for ASR, TTS, and other Speech Technologies

基于DTW与MFCC特征进行数字0-9的语音识别，DTW，MFCC，语音识别，中英数据，端点检测，Digital Voice Recognition。