SOTAVerified

Keyword Spotting

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

( Image credit: Simon Grest )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 176–200 of 407 papers

TitleStatusHype
Filterbank Learning for Noise-Robust Small-Footprint Keyword Spotting—0
Improving Reverberant Speech Training Using Diffuse Acoustic Simulation—0
Improving Small Footprint Few-shot Keyword Spotting with Supervision on Auxiliary Data—0
BUT QUESST 2015 System Description—0
Improving vision-inspired keyword spotting using dynamic module skipping in streaming conformer encoder—0
An Integrated Framework for Two-pass Personalized Voice Trigger—0
DASB -- Discrete Audio and Speech Benchmark—0
BUT QUESST 2014 System Description—0
Data Augmentation for Robust Keyword Spotting under Playback Interference—0
Keyword-Guided Adaptation of Automatic Speech Recognition—0
DCCRN-KWS: an audio bias based model for noise robust small-footprint keyword spotting—0
A Channel-Pruned and Weight-Binarized Convolutional Neural Network for Keyword Spotting—0
Keyword spotting -- Detecting commands in speech using deep learning—0
Keyword spotting for audiovisual archival search in Uralic languages—0
Keyword Spotting for Hearing Assistive Devices Robust to External Speakers—0
An Exploration into the Performance of Unsupervised Cross-Task Speech Representations for "In the Wild'' Edge Applications—0
A 14uJ/Decision Keyword Spotting Accelerator with In-SRAM-Computing and On Chip Learning for Customization—0
Leveraging Large Language Models for Exploiting ASR Uncertainty—0
A Lightweight dynamic filter for keyword spotting—0
Latency Control for Keyword Spotting—0
Learnable Front Ends Based on Temporal Modulation for Music Tagging—0
FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning—0
Learning Decoupling Features Through Orthogonality Regularization—0
Feature exploration for almost zero-resource ASR-free keyword spotting using a multilingual bottleneck extractor and correspondence autoencoders—0
Feature learning for efficient ASR-free keyword spotting in low-resource languages—0
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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