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Keyword Spotting

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

( Image credit: Simon Grest )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 111–120 of 407 papers

Title	Date	Tasks	Status	Hype	Score
Evaluating Sequence-to-Sequence Models for Handwritten Text Recognition	Mar 18, 2019	DecoderHandwritten Text Recognition	CodeCode Available	0	5
End-to-end Keyword Spotting using Xception-1d	Oct 9, 2021	Keyword Spotting	CodeCode Available	0	5
Federated Learning for Keyword Spotting	Oct 9, 2018	Federated LearningKeyword Spotting	CodeCode Available	0	5
JavaScript Convolutional Neural Networks for Keyword Spotting in the Browser: An Experimental Analysis	Oct 30, 2018	Keyword SpottingModel Compression	CodeCode Available	0	5
READ-BAD: A New Dataset and Evaluation Scheme for Baseline Detection in Archival Documents	May 9, 2017	BinarizationKeyword Spotting	CodeCode Available	0	5
Behavior of Keyword Spotting Networks Under Noisy Conditions	Sep 15, 2021	Keyword Spotting	—Unverified	0	0
An Alternative Deep Feature Approach to Line Level Keyword Spotting	Jun 1, 2019	Handwritten Text RecognitionHTR	—Unverified	0	0
ELiRF at MediaEval 2014: Query by Example Search on Speech Task (QUESST)	Oct 16, 2014	Dynamic Time WarpingKeyword Spotting	—Unverified	0	0
BBS-KWS:The Mandarin Keyword Spotting System Won the Video Keyword Wakeup Challenge	Dec 3, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0	0
AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator	Nov 10, 2021	Keyword Spotting	—Unverified	0	0

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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