Keyword Spotting on Google Speech Commands

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Google Speech Commands V1 12

Rank	Model	Google Speech Commands V1 12	Google Speech Commands V2 12	Google Speech Commands V2 2	Google Speech Commands V2 20	Google Speech Commands V2 35	Google Speech Commands V1 2	Google Speech Commands V1 20	Google Speech Commands V1 35	Extra Training Data	Paper	Code	Year
1	TripletLoss-res15	98.56	98.37	–	–	97.0	–	–	–		Learning Efficient Representations for Keyword Spotting with Triplet Loss	roman-vygon/triplet_loss_kws	2021
2	BC-ResNet-8	98.0	98.7	–	–	–	–	–	–		Broadcasted Residual Learning for Efficient Keyword Spotting	google-research/google-research · Qualcomm-AI-research/bcresnet · re9ulus/BC-ResNet · +1	2021
3	Wav2KWS	97.9	98.5	–	97.8	–	–	–	–		Wav2KWS: Transfer Learning from Speech Representations for Keyword Spotting	qute012/Wav2Keyword	2021
4	res 8	97.8	–	–	–	–	–	–	–		Howl: A Deployed, Open-Source Wake Word Detection System	castorini/howl · solyarisoftware/WeBAD	2020
5	KWT-3	97.49 ±0.15	98.56 ±0.07	–	–	97.69 ±0.09	–	–	–		Keyword Transformer: A Self-Attention Model for Keyword Spotting	ARM-software/keyword-transformer · EscVM/EscVM_YT · ID56/Torch-KWT · +7	2021
6	MatchboxNet-3x2x64	97.48	97.63	–	–	–	–	–	–		MatchboxNet: 1D Time-Channel Separable Convolutional Neural Network Architecture for Speech Commands Recognition	google-research/google-research	2020
7	ConvMixer	97.3	98.2	–	–	–	–	–	–		ConvMixer: Feature Interactive Convolution with Curriculum Learning for Small Footprint and Noisy Far-field Keyword Spotting	dianwen-ng/Keyword-Spotting-ConvMixer · IMvision12/keras-vision-models	2022
8	KWT-2	97.27 ±0.08	98.43±0.08	–	–	97.74 ±0.03	–	–	–		Keyword Transformer: A Self-Attention Model for Keyword Spotting	ARM-software/keyword-transformer · EscVM/EscVM_YT · ID56/Torch-KWT · +7	2021
9	KWT-1	97.26±0.18	98.08±0.10	–	–	96.95±0.14	–	–	–		Keyword Transformer: A Self-Attention Model for Keyword Spotting	ARM-software/keyword-transformer · EscVM/EscVM_YT · ID56/Torch-KWT · +7	2021
10	MHAtt-RNN	97.2	98	–	–	–	–	–	–		Streaming keyword spotting on mobile devices	google-research/google-research · qute012/Pytorch-MHAtt-RNN-KWS · Arizona-Voice/blossom	2020
11	NAS1	97.06	–	–	–	–	–	–	–		Neural Architecture Search For Keyword Spotting		2020
12	SSAMBA	96.9	–	–	–	97.4	–	–	–		SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model	siavashshams/ssamba	2024
13	Attention RNN	95.6	96.9	99.4	94.5	93.9	99.2	94.1	94.3		A neural attention model for speech command recognition	google-research/google-research · douglas125/SpeechCmdRecognition · huckiyang/speech_quantum_dl · +5	2018
14	DS-CNN	94.4	–	–	–	–	–	–	–		Hello Edge: Keyword Spotting on Microcontrollers	google-research/google-research · ARM-software/ML-KWS-for-MCU · mindspore-ai/models · +15	2017
15	GRU	93.5	–	–	–	–	–	–	–	✓	Hello Edge: Keyword Spotting on Microcontrollers	google-research/google-research · ARM-software/ML-KWS-for-MCU · mindspore-ai/models · +15	2017
16	LSTM	92.9	–	–	–	–	–	–	–	✓	Hello Edge: Keyword Spotting on Microcontrollers	google-research/google-research · ARM-software/ML-KWS-for-MCU · mindspore-ai/models · +15	2017
17	Basic LSTM	92.0	–	–	–	–	–	–	–		Hello Edge: Keyword Spotting on Microcontrollers	google-research/google-research · ARM-software/ML-KWS-for-MCU · mindspore-ai/models · +15	2017
18	DNN	91.6	–	–	–	–	–	–	–		Hello Edge: Keyword Spotting on Microcontrollers	google-research/google-research · ARM-software/ML-KWS-for-MCU · mindspore-ai/models · +15	2017
19	CNN	84.6	–	–	–	–	–	–	–		Hello Edge: Keyword Spotting on Microcontrollers	google-research/google-research · ARM-software/ML-KWS-for-MCU · mindspore-ai/models · +15	2017
20	WaveFormer	–	98.8	–	–	99.1	–	–	–		Work in Progress: Linear Transformers for TinyML		2024