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Keyword Spotting

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

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Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 41–50 of 407 papers

Title	Date	Tasks	Status	Hype	Score
MAST: Multiscale Audio Spectrogram Transformers	Nov 2, 2022	Audio ClassificationKeyword Spotting	CodeCode Available	1	5
An End-to-End Architecture for Keyword Spotting and Voice Activity Detection	Nov 28, 2016	Action DetectionActivity Detection	CodeCode Available	1	5
Auto-KWS 2021 Challenge: Task, Datasets, and Baselines	Mar 31, 2021	AutoMLBIG-bench Machine Learning	CodeCode Available	1	5
ASiT: Local-Global Audio Spectrogram vIsion Transformer for Event Classification	Nov 23, 2022	Keyword SpottingSelf-Supervised Learning	CodeCode Available	1	5
ED-sKWS: Early-Decision Spiking Neural Networks for Rapid,and Energy-Efficient Keyword Spotting	Jun 14, 2024	Edge-computingKeyword Spotting	CodeCode Available	1	5
MM-KWS: Multi-modal Prompts for Multilingual User-defined Keyword Spotting	Jun 11, 2024	Data AugmentationKeyword Spotting	CodeCode Available	1	5
Keyword Spotting System and Evaluation of Pruning and Quantization Methods on Low-power Edge Microcontrollers	Aug 4, 2022	Edge-computingKeyword Spotting	CodeCode Available	1	5
Chameleon: A MatMul-Free Temporal Convolutional Network Accelerator for End-to-End Few-Shot and Continual Learning from Sequential Data	May 30, 2025	Continual LearningFew-Shot Learning	CodeCode Available	1	5
Few-Shot Keyword Spotting in Any Language	Apr 3, 2021	Keyword SpottingTransfer Learning	CodeCode Available	1	5
Attention-Free Keyword Spotting	Oct 14, 2021	Keyword Spotting	CodeCode Available	1	5

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All datasets QUESST Google Speech Commands hey Siri FKD Google Speech Commands V2 35 TensorFlow VoxForge Google Speech Commands (v2)Google Speech Commands V2 12

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	NNI non-filtered(for the development set)	Cnxe	6.09	—	Unverified
2	NNI Choi(for the development set)	Cnxe	5.89	—	Unverified
3	NTU rnn (eval)	Cnxe	2.01	—	Unverified
4	NTU dtw (eval)	Cnxe	2.01	—	Unverified
5	NTU dtw (dev)	Cnxe	2.01	—	Unverified
6	NTU rnn (dev)	Cnxe	2.01	—	Unverified
7	ELiRF SDTW (eval)	Cnxe	1.19	—	Unverified
8	ELiRF SDTW-avg (eval)	Cnxe	1.07	—	Unverified
9	ELiRF SDTW (dev)	Cnxe	1.07	—	Unverified
10	CUNY [Subseq+MFCC] (eval)	Cnxe	1.07	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	WaveFormer	Google Speech Commands V2 12	98.8	—	Unverified
2	QNN	Google Speech Commands V2 35	98.6	—	Unverified
3	TripletLoss-res15	Google Speech Commands V1 12	98.56	—	Unverified
4	M2D	Google Speech Commands V2 35	98.5	—	Unverified
5	EAT-S	Google Speech Commands V2 35	98.15	—	Unverified
6	Audio Spectrogram Transformer	Google Speech Commands V2 35	98.11	—	Unverified
7	EdgeCRNN 2.0×	Google Speech Commands V2 12	98.05	—	Unverified
8	BC-ResNet-8	Google Speech Commands V1 12	98	—	Unverified
9	HTS-AT	Google Speech Commands V2 35	98	—	Unverified
10	Wav2KWS	Google Speech Commands V1 12	97.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Stacked 1D CNN	Error Rate	1.99	—	Unverified
2	End-to-end DNN-HMM	Error Rate	1.7	—	Unverified
3	HEiMDaL	Error Rate	0.45	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Res26	Accuracy	95.88	—	Unverified
2	EfficientNet-A0 + SA + TL	Accuracy	95.83	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	QuaternionNeuralNetwork	Accuracy (10-fold)	98.53	—	Unverified
2	SSAMBA	Accuracy (10-fold)	97.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TensorFlow's model version 2	TFMA	89.7	—	Unverified
2	TensorFlow's model version 1	TFMA	85.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	2D-ConvNet	Accuracy (%)	95.4	—	Unverified
2	1D-ConvNet	Accuracy (%)	93.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Quaternion Neural Networks	Accuracy(10-fold)	98.53	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MicroNet-KWS-L	Accuracy	95.3	—	Unverified