Keyword Spotting On Google Speech Commands

المقاييس

Google Speech Commands V2 35

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

جدول المقارنة

اسم النموذج	Google Speech Commands V2 35
hts-at-a-hierarchical-token-semantic-audio	98.0
broadcasted-residual-learning-for-efficient	-
work-in-progress-linear-transformers-for	99.1
importantaug-a-data-augmentation-agent-for	95
learning-efficient-representations-for-3	97.0
hello-edge-keyword-spotting-on	-
effective-combination-of-densenet-andbilstm	-
hello-edge-keyword-spotting-on	-
a-neural-attention-model-for-speech-command	93.9
matchboxnet-1d-time-channel-separable-1	-
efficient-keyword-spotting-using-time-delay	-
end-to-end-keyword-spotting-using-neural	-
multi-layer-attention-mechanism-for-speech	-
hello-edge-keyword-spotting-on	-
hello-edge-keyword-spotting-on	-
ast-audio-spectrogram-transformer	98.11
towards-on-device-keyword-spotting-using-low	98.60
temporal-convolution-for-real-time-keyword	-
ssamba-self-supervised-audio-representation	97.4
keyword-transformer-a-self-attention-model	96.95±0.14
attention-free-keyword-spotting	97.56
end-to-end-audio-strikes-back-boosting	98.15
wav2kws-transfer-learning-from-speech	-
training-keyword-spotters-with-limited-and	-
streaming-keyword-spotting-on-mobile-devices	-
micronets-neural-network-architectures-for	-
subspectral-normalization-for-neural-audio	-
hello-edge-keyword-spotting-on	-
pate-aae-incorporating-adversarial	-
keyword-transformer-a-self-attention-model	97.74 ±0.03
keyword-transformer-a-self-attention-model	97.69 ±0.09
training-keyword-spotters-with-limited-and	-
decentralizing-feature-extraction-with	-
subspectral-normalization-for-neural-audio	-
subspectral-normalization-for-neural-audio	-
neural-architecture-search-for-keyword	-
hello-edge-keyword-spotting-on	-
edgecrnn-an-edgecomputing-oriented-model-of	-
convmixer-feature-interactive-convolution	-
howl-a-deployed-open-source-wake-word	-
masked-modeling-duo-learning-representations	98.5
neural-architecture-search-for-keyword	-