SOTAVerified

Keyword Spotting

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

( Image credit: Simon Grest )

Papers

Showing 101125 of 407 papers

TitleStatusHype
Honk: A PyTorch Reimplementation of Convolutional Neural Networks for Keyword SpottingCode0
Adversarial Example Detection by Classification for Deep Speech RecognitionCode0
Building and benchmarking an Arabic Speech Commands dataset for small-footprint keyword spottingCode0
Hello Edge: Keyword Spotting on MicrocontrollersCode0
Audio Explanation Synthesis with Generative Foundation ModelsCode0
JavaScript Convolutional Neural Networks for Keyword Spotting in the Browser: An Experimental AnalysisCode0
Filler Word Detection and Classification: A Dataset and BenchmarkCode0
ed-cec: improving rare word recognition using asr postprocessing based on error detection and context-aware error correctionCode0
Boosting keyword spotting through on-device learnable user speech characteristicsCode0
Federated Learning for Keyword SpottingCode0
End-to-end Keyword Spotting using Xception-1dCode0
Evaluating Sequence-to-Sequence Models for Handwritten Text RecognitionCode0
GTM-UVigo Systems for the Query-by-Example Search on Speech Task at MediaEval 2015Code0
Keyword localisation in untranscribed speech using visually grounded speech modelsCode0
Efficient Keyword Spotting by capturing long-range interactions with Temporal Lambda NetworksCode0
Behavior of Keyword Spotting Networks Under Noisy Conditions0
An Alternative Deep Feature Approach to Line Level Keyword Spotting0
Employing Phonetic Speech Recognition for Language and Dialect Specific Search0
EmoAttack: Utilizing Emotional Voice Conversion for Speech Backdoor Attacks on Deep Speech Classification Models0
ELiRF at MediaEval 2015: Query by Example Search on Speech Task (QUESST)0
ELiRF at MediaEval 2014: Query by Example Search on Speech Task (QUESST)0
BBS-KWS:The Mandarin Keyword Spotting System Won the Video Keyword Wakeup Challenge0
Encoder-Decoder Neural Architecture Optimization for Keyword Spotting0
AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator0
Efficient keyword spotting using time delay neural networks0
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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