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Keyword Spotting

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In speech processing, keyword spotting deals with the identification of keywords in utterances.

<span style="color:grey; opacity: 0.6">( Image credit: Simon Grest )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/AI-Research-BD/Keyword-MLP

공식 코드

Attention-Free Keyword Spotting

https://github.com/AI4Bharat/indicSUPERB

공식 코드

IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian languages

https://github.com/ARM-software/ML-KWS-for-MCU

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Hello Edge: Keyword Spotting on Microcontrollers

https://github.com/ARM-software/ML-zoo

공식 코드

MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers

https://github.com/ARM-software/keyword-transformer

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Keyword Transformer: A Self-Attention Model for Keyword Spotting

https://github.com/Alibaba-MIIL/AudioClassfication

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End-to-End Audio Strikes Back: Boosting Augmentations Towards An Efficient Audio Classification Network

https://github.com/AmirmohammadRostami/KeywordsSpotting-EfficientNet-A0

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EfficientNet-Absolute Zero for Continuous Speech Keyword Spotting

https://github.com/ArchitParnami/Few-Shot-KWS

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Few-Shot Keyword Spotting With Prototypical Networks

https://github.com/Codelegant92/STC-MAML-PyTorch

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An Investigation of Few-Shot Learning in Spoken Term Classification

https://github.com/HarlinLee/brillsson

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Distilled Non-Semantic Speech Embeddings with Binary Neural Networks for Low-Resource Devices

https://github.com/IIP-Sogang/speech-pooling-benchmark

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Unsupervised Speech Representation Pooling Using Vector Quantization

https://github.com/Interlagos/TENet-kws

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Small-Footprint Keyword Spotting with Multi-Scale Temporal Convolution

https://github.com/NECOTIS/Keyword-Spotting-with-PDM

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Neuromorphic Keyword Spotting with Pulse Density Modulation MEMS Microphones

https://github.com/PaddlePaddle/PaddleSpeech

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PaddleSpeech: An Easy-to-Use All-in-One Speech Toolkit

https://github.com/Pooookeman/ED-sKWS

공식 코드

ED-sKWS: Early-Decision Spiking Neural Networks for Rapid,and Energy-Efficient Keyword Spotting

https://github.com/Qualcomm-AI-research/bcresnet

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Broadcasted Residual Learning for Efficient Keyword Spotting

https://github.com/Sreyan88/LAPE

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MAST: Multiscale Audio Spectrogram Transformers

https://github.com/Telefonica/LambdaNetwork

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Efficient Keyword Spotting by capturing long-range interactions with Temporal Lambda Networks

https://github.com/TomVeniat/SANAS

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Stochastic Adaptive Neural Architecture Search for Keyword Spotting

https://github.com/Transkribus/TranskribusBaseLineEvaluationScheme

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READ-BAD: A New Dataset and Evaluation Scheme for Baseline Detection in Archival Documents

https://github.com/YuanGongND/ast

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AST: Audio Spectrogram Transformer

https://github.com/YuanGongND/ssast

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SSAST: Self-Supervised Audio Spectrogram Transformer

https://github.com/aau-es-ml/ssl_noise-robust_kws

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Noise-Robust Keyword Spotting through Self-supervised Pretraining

https://github.com/abr/power_benchmarks

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Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware

https://github.com/afrihate/afrihate

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AfriHate: A Multilingual Collection of Hate Speech and Abusive Language Datasets for African Languages

https://github.com/aizhiqi-work/MM-KWS

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MM-KWS: Multi-modal Prompts for Multilingual User-defined Keyword Spotting

https://github.com/akhilmathurs/fair-ondevice-ml

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Tiny, always-on and fragile: Bias propagation through design choices in on-device machine learning workflows

https://github.com/andi611/Self-Supervised-Speech-Pretraining-and-Representation-Learning

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TERA: Self-Supervised Learning of Transformer Encoder Representation for Speech

https://github.com/boris-bergsma/audio_pruning

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Cluster-based pruning techniques for audio data

https://github.com/castorini/honk

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Honk: A PyTorch Reimplementation of Convolutional Neural Networks for Keyword Spotting

https://github.com/castorini/howl

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Howl: A Deployed, Open-Source Wake Word Detection System

https://github.com/cogsys-tudelft/chameleon

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Chameleon: A MatMul-Free Temporal Convolutional Network Accelerator for End-to-End Few-Shot and Continual Learning from Sequential Data

https://github.com/dapeter/nas-for-kws

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Resource-efficient DNNs for Keyword Spotting using Neural Architecture Search and Quantization

https://github.com/diaoenmao/Semi-Supervised-Federated-Learing-for-Keyword-Spotting

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Semi-Supervised Federated Learning for Keyword Spotting

https://github.com/douglas125/SpeechCmdRecognition

공식 코드

A neural attention model for speech command recognition

https://github.com/fkhiro/kws-ode

공식 코드

Neural ODE with Temporal Convolution and Time Delay Neural Networks for Small-Footprint Keyword Spotting

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