Keyword spotting, Speech wake_up, by pytorch, DNN, CNN, TDNN, DFSMN, LSTM

Multi-Head-Attention RNN pytorch implement for keyword spotting

Keyword spotting for audio with attention (KWS model for audio)

A KWS model trained on SpeechCommands dataset, written in PyTorch.

Unofficial PyTorch implementation of Few-Shot Keyword Spotting in Any Language. A model for few-shot keyword spotting in any language, trained with the Multilingual Spoken Words Corpus.

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This repository reimplements several state-of-the-art (SOTA) architectures for Keyword Spotting (KWS) using different approaches, including TCN, CRNN, and CNN, with the PyTorch framework. The models include MDTC, EdgeCRNN and BC-ResNet

key word spotting with GE2E loss for speaker verification

DE-KWS - Official PyTorch Implementation

PyTorch based Keyword Spotting (KWS) posterior search.

KWS pytorch project

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Convert a KWS network from pytorch to TVM and measure perofrmance