SOTAVerified

Keyword Spotting

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

( Image credit: Simon Grest )

Papers

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Showing 26–50 of 407 papers

TitleStatusHype
PhonMatchNet: Phoneme-Guided Zero-Shot Keyword Spotting for User-Defined KeywordsCode1
Reduced Precision Floating-Point Optimization for Deep Neural Network On-Device Learning on MicroControllersCode1
Seeing wake words: Audio-visual Keyword SpottingCode1
SiDi KWS: A Large-Scale Multilingual Dataset for Keyword SpottingCode1
Small-Footprint Keyword Spotting with Multi-Scale Temporal ConvolutionCode1
Attention-Free Keyword SpottingCode1
Keyword Transformer: A Self-Attention Model for Keyword SpottingCode1
Few-Shot Keyword Spotting With Prototypical NetworksCode1
ED-sKWS: Early-Decision Spiking Neural Networks for Rapid,and Energy-Efficient Keyword SpottingCode1
Deep Residual Learning for Small-Footprint Keyword SpottingCode1
EfficientNet-Absolute Zero for Continuous Speech Keyword SpottingCode1
End-to-End Audio Strikes Back: Boosting Augmentations Towards An Efficient Audio Classification NetworkCode1
Few-Shot Keyword Spotting in Any LanguageCode1
Few-Shot Open-Set Learning for On-Device Customization of KeyWord Spotting SystemsCode1
An End-to-End Architecture for Keyword Spotting and Voice Activity DetectionCode1
Improving Label-Deficient Keyword Spotting Through Self-Supervised PretrainingCode1
IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian languagesCode1
AfriHate: A Multilingual Collection of Hate Speech and Abusive Language Datasets for African LanguagesCode1
ASiT: Local-Global Audio Spectrogram vIsion Transformer for Event ClassificationCode1
Learning Efficient Representations for Keyword Spotting with Triplet LossCode1
LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERTCode1
BSL-1K: Scaling up co-articulated sign language recognition using mouthing cuesCode1
Chameleon: A MatMul-Free Temporal Convolutional Network Accelerator for End-to-End Few-Shot and Continual Learning from Sequential DataCode1
MM-KWS: Multi-modal Prompts for Multilingual User-defined Keyword SpottingCode1
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network PerformanceCode1
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All datasetsQUESSTGoogle Speech Commandshey SiriFKDGoogle Speech Commands V2 35TensorFlowVoxForgeGoogle Speech Commands (v2)Google Speech Commands V2 12

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1NNI non-filtered(for the development set)Cnxe6.09—Unverified
2NNI Choi(for the development set)Cnxe5.89—Unverified
3NTU rnn (eval)Cnxe2.01—Unverified
4NTU dtw (eval)Cnxe2.01—Unverified
5NTU dtw (dev)Cnxe2.01—Unverified
6NTU rnn (dev)Cnxe2.01—Unverified
7ELiRF SDTW (eval)Cnxe1.19—Unverified
8ELiRF SDTW-avg (eval)Cnxe1.07—Unverified
9ELiRF SDTW (dev)Cnxe1.07—Unverified
10CUNY [Subseq+MFCC] (eval)Cnxe1.07—Unverified
#ModelMetricClaimedVerifiedStatus
1WaveFormerGoogle Speech Commands V2 1298.8—Unverified
2QNNGoogle Speech Commands V2 3598.6—Unverified
3TripletLoss-res15Google Speech Commands V1 1298.56—Unverified
4M2DGoogle Speech Commands V2 3598.5—Unverified
5EAT-SGoogle Speech Commands V2 3598.15—Unverified
6Audio Spectrogram TransformerGoogle Speech Commands V2 3598.11—Unverified
7EdgeCRNN 2.0×Google Speech Commands V2 1298.05—Unverified
8BC-ResNet-8Google Speech Commands V1 1298—Unverified
9HTS-ATGoogle Speech Commands V2 3598—Unverified
10Wav2KWSGoogle Speech Commands V1 1297.9—Unverified
#ModelMetricClaimedVerifiedStatus
1Stacked 1D CNNError Rate1.99—Unverified
2End-to-end DNN-HMMError Rate1.7—Unverified
3HEiMDaLError Rate0.45—Unverified
#ModelMetricClaimedVerifiedStatus
1Res26Accuracy95.88—Unverified
2EfficientNet-A0 + SA + TLAccuracy95.83—Unverified
#ModelMetricClaimedVerifiedStatus
1QuaternionNeuralNetworkAccuracy (10-fold)98.53—Unverified
2SSAMBAAccuracy (10-fold)97.4—Unverified
#ModelMetricClaimedVerifiedStatus
1TensorFlow's model version 2TFMA89.7—Unverified
2TensorFlow's model version 1TFMA85.4—Unverified
#ModelMetricClaimedVerifiedStatus
12D-ConvNetAccuracy (%)95.4—Unverified
21D-ConvNetAccuracy (%)93.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Quaternion Neural NetworksAccuracy(10-fold)98.53—Unverified
#ModelMetricClaimedVerifiedStatus
1MicroNet-KWS-LAccuracy95.3—Unverified