https://github.com/jamestjw/OCR
Evaluating Sequence-to-Sequence Models for Handwritten Text Recognition
Papers with Code 아카이브
Keyword Spotting
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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In speech processing, keyword spotting deals with the identification of keywords in utterances.
<span style="color:grey; opacity: 0.6">( Image credit: Simon Grest )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/jarfo/gcommands
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
https://github.com/jayant766/MIDAS-IIITD
https://github.com/joselyn-rodriguez/s3prl
TERA: Self-Supervised Learning of Transformer Encoder Representation for Speech
https://github.com/lilianemomeni/KWS-Net
Zero-shot keyword spotting for visual speech recognition in-the-wild
https://github.com/lukesin/nas-for-kws-2
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
https://github.com/magahub/KWS-ARM
https://github.com/magahub/honk
Honk: A PyTorch Reimplementation of Convolutional Neural Networks for Keyword Spotting
https://github.com/magahub/honknew
Honk: A PyTorch Reimplementation of Convolutional Neural Networks for Keyword Spotting
https://github.com/magahub/mind
An End-to-End Architecture for Keyword Spotting and Voice Activity Detection
https://github.com/mashrurmorshed/torch-kwt
Keyword Transformer: A Self-Attention Model for Keyword Spotting
https://github.com/maxtimer97/ssm-inspired-lif
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
https://github.com/mindorii/kws
An End-to-End Architecture for Keyword Spotting and Voice Activity Detection
https://github.com/mindspore-ai/models/tree/master/research/nlp/dscnn
https://github.com/mrusci/ondevice-learning-kws
Self-Learning for Personalized Keyword Spotting on Ultra-Low-Power Audio Sensors
https://github.com/nttcslab/composing-general-audio-repr
https://github.com/phanxuanphucnd/Arizona-spotting
Keyword Transformer: A Self-Attention Model for Keyword Spotting
https://github.com/phanxuanphucnd/wav2kws
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
https://github.com/pspratling/Speech-Recognition
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
https://github.com/pwc-1/Paper-8/tree/main/audio_spectrogram_transformer
https://github.com/pxaris/ccml
https://github.com/qute012/Wav2Keyword
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
https://github.com/re9ulus/BC-ResNet
Broadcasted Residual Learning for Efficient Keyword Spotting
https://github.com/renyuanL/ry-Speech-commands
https://github.com/rf5/simple-speech-commands
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
https://github.com/robin-ai-ml/ML-KWS-for-MCU
https://github.com/roman-vygon/BCResNet
Broadcasted Residual Learning for Efficient Keyword Spotting
https://github.com/sankalp2610/Speech_Command_Recognition
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
https://github.com/saraalemadi/DroneAudioDataset
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
https://github.com/sergevkim/KeywordSpotting
Attention-based End-to-End Models for Small-Footprint Keyword Spotting
https://github.com/simongrest/kaggle-freesound-audio-tagging-2019
Trainable Frontend For Robust and Far-Field Keyword Spotting
https://github.com/snipsco/keyword-spotting-research-datasets
https://github.com/snipsco/tract
Efficient keyword spotting using dilated convolutions and gating
https://github.com/solyarisoftware/WeBAD
https://github.com/sonos/keyword-spotting-research-datasets
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.