Popular GitHub Repositories for Keyword Spotting

On-device wake word detection powered by deep learning

A lightweight, simple-to-use, RNN wake word listener

:speech_balloon: /so.nus/ STT (speech to text) for Node with offline hotword detection

Deep learning for audio processing

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

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

Official implementation of the Keyword Transformer: https://arxiv.org/abs/2104.00769

[SLT'24] The official implementation of SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model

Learning Efficient Representations for Keyword Spotting with Triplet Loss

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.

Deep Learning for Speech

Few-Shot Keyword Spotting

Won't it be cool to build a speech assistant like Alexa or Siri yourself without voice API and network connection?

Pytorch implementation of BiFSMNv2, TNNLS 2023

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

Attention-based model for keywords spotting

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

Recognition of 38 speech commands in russian. Based on Yandex Cup 2021 ML Challenge: ASR

Effective processing pipeline and advanced neural network architectures for small-footprint keyword spotting