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 151–175 of 407 papers

TitleStatusHype
Frequency & Channel Attention Network for Small Footprint Noisy Spoken Keyword Spotting—0
Fully Unsupervised Training of Few-shot Keyword Spotting—0
Finding Opinion Manipulation Trolls in News Community Forums—0
GhostRNN: Reducing State Redundancy in RNN with Cheap Operations—0
Filterbank Learning for Noise-Robust Small-Footprint Keyword Spotting—0
Global-Local Convolution with Spiking Neural Networks for Energy-efficient Keyword Spotting—0
GraphemeAug: A Systematic Approach to Synthesized Hard Negative Keyword Spotting Examples—0
An Optimized Recurrent Unit for Ultra-Low-Power Keyword Spotting—0
GTTS-EHU Systems for QUESST at MediaEval 2014—0
Hardware Aware Training for Efficient Keyword Spotting on General Purpose and Specialized Hardware—0
Hardware/Software Co-Design of RISC-V Extensions for Accelerating Sparse DNNs on FPGAs—0
HEiMDaL: Highly Efficient Method for Detection and Localization of wake-words—0
Contrastive Augmentation: An Unsupervised Learning Approach for Keyword Spotting in Speech Technology—0
Hierarchical Neural Network Architecture In Keyword Spotting—0
Contrastive Learning With Audio Discrimination For Customizable Keyword Spotting In Continuous Speech—0
A Fast Network Exploration Strategy to Profile Low Energy Consumption for Keyword Spotting—0
BUT QUESST 2015 System Description—0
How Tiny Can Analog Filterbank Features Be Made for Ultra-low-power On-device Keyword Spotting?—0
An Integrated Framework for Two-pass Personalized Voice Trigger—0
IIIT-H System for MediaEval 2014 QUESST—0
台語關鍵詞辨識之實作與比較 (Implementation and Comparison of Keyword Spotting for Taiwanese) [In Chinese]—0
Implicit Acoustic Echo Cancellation for Keyword Spotting and Device-Directed Speech Detection—0
CUHK System for QUESST Task of MediaEval 2014—0
Improved low-resource Somali speech recognition by semi-supervised acoustic and language model training—0
BUT QUESST 2014 System Description—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