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 351–375 of 407 papers

TitleStatusHype
Characterizing Linguistic Attributes for Automatic Classification of Intent Based Racist/Radicalized Posts on Tumblr Micro-Blogging Website—0
Conditional Online Learning for Keyword Spotting—0
Continuous-Time Analog Filters for Audio Edge Intelligence: Review on Circuit Designs—0
Contrastive Augmentation: An Unsupervised Learning Approach for Keyword Spotting in Speech Technology—0
Contrastive Learning With Audio Discrimination For Customizable Keyword Spotting In Continuous Speech—0
Convexity-based Pruning of Speech Representation Models—0
Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting—0
CTC-aligned Audio-Text Embedding for Streaming Open-vocabulary Keyword Spotting—0
CUHK System for QUESST Task of MediaEval 2014—0
CUNY Systems for the Query-by-Example Search on Speech Task at MediaEval 2015—0
Custom DNN using Reward Modulated Inverted STDP Learning for Temporal Pattern Recognition—0
Dark Experience for Incremental Keyword Spotting—0
DASB -- Discrete Audio and Speech Benchmark—0
Data Augmentation for Robust Keyword Spotting under Playback Interference—0
DCCRN-KWS: an audio bias based model for noise robust small-footprint keyword spotting—0
Deep Convolutional Spiking Neural Networks for Keyword Spotting—0
Deep Spoken Keyword Spotting: An Overview—0
Delta Keyword Transformer: Bringing Transformers to the Edge through Dynamically Pruned Multi-Head Self-Attention—0
Developing Far-Field Speaker System Via Teacher-Student Learning—0
Discriminatory and orthogonal feature learning for noise robust keyword spotting—0
Disentangled Training with Adversarial Examples For Robust Small-footprint Keyword Spotting—0
Does Single-channel Speech Enhancement Improve Keyword Spotting Accuracy? A Case Study—0
DONUT: CTC-based Query-by-Example Keyword Spotting—0
Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting—0
Dynamic curriculum learning via data parameters for noise robust keyword spotting—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