SOTAVerified

Keyword Spotting

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

( Image credit: Simon Grest )

Papers

Showing 5175 of 407 papers

TitleStatusHype
BiFSMN: Binary Neural Network for Keyword SpottingCode1
Chameleon: A MatMul-Free Temporal Convolutional Network Accelerator for End-to-End Few-Shot and Continual Learning from Sequential DataCode1
Towards On-device Domain Adaptation for Noise-Robust Keyword SpottingCode1
Auto-KWS 2021 Challenge: Task, Datasets, and BaselinesCode1
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech RecognitionCode1
Zero-shot keyword spotting for visual speech recognition in-the-wildCode1
IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian languagesCode1
EfficientNet-Absolute Zero for Continuous Speech Keyword SpottingCode1
Small-Footprint Keyword Spotting with Multi-Scale Temporal ConvolutionCode1
Few-Shot Keyword Spotting in Any LanguageCode1
An Alternative Deep Feature Approach to Line Level Keyword Spotting0
Behavior of Keyword Spotting Networks Under Noisy Conditions0
Implementing Keyword Spotting on the MCUX947 Microcontroller with Integrated NPU0
BBS-KWS:The Mandarin Keyword Spotting System Won the Video Keyword Wakeup Challenge0
AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator0
AB/BA analysis: A framework for estimating keyword spotting recall improvement while maintaining audio privacy0
Contrastive Learning With Audio Discrimination For Customizable Keyword Spotting In Continuous Speech0
Automating speech reception threshold measurements using automatic speech recognition0
Automatic Speech Recognition for Humanitarian Applications in Somali0
A Multi-oriented Chinese Keyword Spotter Guided by Text Line Detection0
Automatic Extraction of News Values from Headline Text0
AutoKWS: Keyword Spotting with Differentiable Architecture Search0
A Monaural Speech Enhancement Method for Robust Small-Footprint Keyword Spotting0
Adaptive Speech Understanding for Intuitive Model-based Spoken Dialogues0
Convexity-based Pruning of Speech Representation Models0
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Benchmark Results

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