There are 22 repositories under keyword-spotting topic.
Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".
A lightweight, simple-to-use, RNN wake word listener
Deep learning for audio processing
ICASSP 2023-2024 Papers: A complete collection of influential and exciting research papers from the ICASSP 2023-24 conferences. Explore the latest advancements in acoustics, speech and signal processing. Code included. Star the repository to support the advancement of audio and signal processing!
This repository is a curated list of awesome Speech Keyword Spotting (Wake-Up Word Detection).
Code for Temporal Convolution for Real-time Keyword Spotting on Mobile Devices
Few-shot Keyword Spotting in Any Language and Multilingual Spoken Word Corpus
Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application with a focus on embedded systems.
wake word engine benchmark framework
Official implementation of the Keyword Transformer: https://arxiv.org/abs/2104.00769
Wav2Keyword is keyword spotting(KWS) based on Wav2Vec 2.0. This model shows state-of-the-art in Speech commands dataset V1 and V2.
Learning Efficient Representations for Keyword Spotting with Triplet Loss
In this repository, we explore using a hybrid system consisting of a Convolutional Neural Network and a Support Vector Machine for Keyword Spotting task.
Classify audio with neural nets on embedded systems like the Raspberry Pi
Deep Learning for Speech
Train a 4-layer Convolutional Neural Network to detect trigger word
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?
Generate a list of keywords from any text.
Tensorflow implementation of "Small-Footprint Keyword Spotting with Multi-Scale Temporal Convolution"(INTERSPEECH 2020)
Tensorflow2 implementation of Data-driven Harmonic Filters for Audio Representation Learning
A repository of curated lists with elements such as IoCs to use for threat hunting & detection queries.
Speech command recognition with capsule network & various NNs / KWS on Google Speech Command Dataset.
EfficientNet-Absolute Zero for Continuous Speech Keyword Spotting
đź“– LanMIT: A Toolkit for Improving Language Models in Low-resourced Speech Recognition based on Kaldi.
Attention-based model for keywords spotting
This repository contains code for applying Data2Vec to pretrain Keyword Transformer model as described in "Improving Label-Deficient Keyword Spotting Through Self-Supervised Pretraining".
Keyword spotting for audio with attention (KWS model for audio)