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Keyword Spotting
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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/Paulonso/ML-KWS-for-MCU
https://github.com/ROBOTICSENGINEER/End_to_End_Learning_of_Speech_2D_Feature_Trajectory
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
https://github.com/Snapchat/snapml-templates
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
https://github.com/TMarquet/speech_recognition
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
https://github.com/TobiasGruening/ARU-Net
READ-BAD: A New Dataset and Evaluation Scheme for Baseline Detection in Archival Documents
https://github.com/Tushar-ml/ED-CEC
https://github.com/UT2UH/ML-KWS-for-ESP32
https://github.com/Vernacular-ai/Multimodal-Slu
TERA: Self-Supervised Learning of Transformer Encoder Representation for Speech
https://github.com/akommini/Spoken-Numeric-Digit-detection
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
https://github.com/asteroid-team/asteroid-filterbanks/blob/master/asteroid_filterbanks/pcen.py
Trainable Frontend For Robust and Far-Field Keyword Spotting
https://github.com/ayyucedemirbas/gcommands_12_classes
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
https://github.com/bozliu/E2E-Keyword-Spotting
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
https://github.com/castorini/honkling
https://github.com/cgaroufis/msspt
https://github.com/danFromTelAviv/key_words_spotting
Efficient keyword spotting using dilated convolutions and gating
https://github.com/dhlab-epfl/dhSegment
READ-BAD: A New Dataset and Evaluation Scheme for Baseline Detection in Archival Documents
https://github.com/diggerdu/AudioMamba
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
https://github.com/diggerdu/audiorwkv
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
https://github.com/dscripka/openwakeword
Training Keyword Spotters with Limited and Synthesized Speech Data
https://github.com/etosworld/etos-keywordspotting
Honk: A PyTorch Reimplementation of Convolutional Neural Networks for Keyword Spotting
https://github.com/etrommer/dcsr
https://github.com/felixkreuk/SegFeat
Phoneme Boundary Detection using Learnable Segmental Features
https://github.com/fracorti/reds
https://github.com/google-research/google-research/tree/master/kws_streaming
https://github.com/gtm-uvigo/MediaEval_QUESST2015
https://github.com/gulvarol/bsl1k
BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues
https://github.com/harvard-edge/dataperf-speech-example
https://github.com/httttttt/ResNetAtentionBiLSTM
https://github.com/huckiyang/QuantumSpeech-QCNN
https://github.com/hustxsl/C-ML-KWS-for-MCU
https://github.com/idiap/apam
TERA: Self-Supervised Learning of Transformer Encoder Representation for Speech
https://github.com/idiap/sparch
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
https://github.com/imagine5am/ARU-Net
READ-BAD: A New Dataset and Evaluation Scheme for Baseline Detection in Archival Documents
https://github.com/intelligentmachines/keyword_spotting_transformer
Keyword Transformer: A Self-Attention Model for Keyword Spotting
https://github.com/isadrtdinov/kws-attention
Attention-based End-to-End Models for Small-Footprint Keyword Spotting
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.