voice-engine

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.

A collection of resources to make a smart speaker

关于语音信号声源定位DOA估计所用的一些传统算法

Few-shot Keyword Spotting in Any Language and Multilingual Spoken Word Corpus

Robotic fabrication package for the COMPAS Framework.

Wav2Keyword is keyword spotting(KWS) based on Wav2Vec 2.0. This model shows state-of-the-art in Speech commands dataset V1 and V2.

In this repository, we explore using a hybrid system consisting of a Convolutional Neural Network and a Support Vector Machine for Keyword Spotting task.

Cortex M KWS example with Tengine Lite.

? Nala is an agile open-source voice assistant framework (20+ actions).

Speech command recognition with capsule network & various NNs / KWS on Google Speech Command Dataset.