On-device wake word detection powered by deep learning
Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".
A lightweight, simple-to-use, RNN wake word listener
:speech_balloon: /so.nus/ STT (speech to text) for Node with offline hot...
Deep learning for audio processing
ICASSP 2023-2024 Papers: A complete collection of influential and exciti...
This repository is a curated list of awesome Speech Keyword Spotting (Wa...
Code for Temporal Convolution for Real-time Keyword Spotting on Mobile D...
Few-shot Keyword Spotting in Any Language and Multilingual Spoken Word C...
Spokestack is a library that allows a user to easily incorporate a voice...
wake word engine benchmark framework
Official implementation of the Keyword Transformer: https://arxiv.org/ab...
Wav2Keyword is keyword spotting(KWS) based on Wav2Vec 2.0. This model sh...
Learning Efficient Representations for Keyword Spotting with Triplet Loss
In this repository, we explore using a hybrid system consisting of a Con...