SOTAVerified

Keyword Spotting

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

( Image credit: Simon Grest )

Papers

Showing 110 of 407 papers

TitleStatusHype
Low-resource keyword spotting using contrastively trained transformer acoustic word embeddings0
Enhancing Few-shot Keyword Spotting Performance through Pre-Trained Self-supervised Speech Models0
ASAP-FE: Energy-Efficient Feature Extraction Enabling Multi-Channel Keyword Spotting on Edge Processors0
Advances in Small-Footprint Keyword Spotting: A Comprehensive Review of Efficient Models and AlgorithmsCode0
GLAP: General contrastive audio-text pretraining across domains and languagesCode2
Implementing Keyword Spotting on the MCUX947 Microcontroller with Integrated NPU0
SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models0
Assessing the Impact of Anisotropy in Neural Representations of Speech: A Case Study on Keyword Spotting0
WCTC-Biasing: Retraining-free Contextual Biasing ASR with Wildcard CTC-based Keyword Spotting and Inter-layer Biasing0
Speech Unlearning0
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Benchmark Results

#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
8HTS-ATGoogle Speech Commands V2 3598Unverified
9BC-ResNet-8Google Speech Commands V1 1298Unverified
10Wav2KWSGoogle Speech Commands V1 1297.9Unverified