https://github.com/Interlagos/TENet-kws
공식 코드Small-Footprint Keyword Spotting with Multi-Scale Temporal Convolution
Papers with Code 아카이브
Small-Footprint Keyword Spotting
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/castorini/honk
공식 코드https://github.com/fkhiro/kws-ode
공식 코드https://github.com/sumansamui/small-footprint-keyword-spotting
공식 코드https://github.com/AmirmohammadRostami/KeywordsSpotting-EfficientNet-A0
https://github.com/Kirili4ik/kws-attention-pytorch
Attention-based End-to-End Models for Small-Footprint Keyword Spotting
https://github.com/PaddlePaddle/PaddleSpeech
The NPU System for the 2020 Personalized Voice Trigger Challenge
https://github.com/danFromTelAviv/key_words_spotting
Efficient keyword spotting using dilated convolutions and gating
https://github.com/isadrtdinov/kws-attention
Attention-based End-to-End Models for Small-Footprint Keyword Spotting
https://github.com/magahub/honk
https://github.com/magahub/honknew
https://github.com/renyuanL/ry-Speech-commands
Small-Footprint Keyword Spotting on Raw Audio Data with Sinc-Convolutions
https://github.com/sergevkim/KeywordSpotting
Attention-based End-to-End Models for Small-Footprint Keyword Spotting
https://github.com/snipsco/keyword-spotting-research-datasets
Efficient keyword spotting using dilated convolutions and gating
https://github.com/snipsco/tract
Efficient keyword spotting using dilated convolutions and gating
https://github.com/sonos/keyword-spotting-research-datasets
Efficient keyword spotting using dilated convolutions and gating
https://github.com/sonos/tract
Efficient keyword spotting using dilated convolutions and gating
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.