A collection of resources to make a smart speaker
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.
关于语音信号声源定位DOA估计所用的一些传统算法
Tools for Speech Enhancement integrated with Kaldi
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.
simple delaysum, MVDR and CGMM-MVDR
Control adaptive filters with neural networks.
building blocks to create voice interface applications
Few-shot Keyword Spotting in Any Language and Multilingual Spoken Word Corpus
? ML-based positioning method from mmWave transmissions - with high accuracy and energy efficiency
Robotic fabrication package for the COMPAS Framework.
