Papers with Code 아카이브
Distant Speech Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
- 2
- 보존된 평가 기록
- 5
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/popcornell/MicRank
공식 코드https://github.com/santi-pdp/pase
공식 코드Learning Problem-agnostic Speech Representations from Multiple Self-supervised Tasks
https://github.com/sh01k/MeshRIR
공식 코드https://github.com/Baileyswu/pytorch-hmm-vae
https://github.com/Dahee96/Seq2seq-
https://github.com/NOEPG/pytorch-kaldi
https://github.com/PeiyanFlying/https-github.com-PeiyanFlying-pytorch-kaldi
https://github.com/amikey/pytorch-kaldi
https://github.com/ayyucedemirbas/gcommands_12_classes
https://github.com/kdgutier/esrnn_torch
Residual LSTM: Design of a Deep Recurrent Architecture for Distant Speech Recognition
https://github.com/kdgutier/residual_lstm/blob/master/residual_lstm.py
Residual LSTM: Design of a Deep Recurrent Architecture for Distant Speech Recognition
https://github.com/mravanelli/pySpeechRev
The DIRHA-English corpus and related tasks for distant-speech recognition in domestic environments
https://github.com/prerak23/dir_srcmic_doa
The DIRHA-English corpus and related tasks for distant-speech recognition in domestic environments
https://github.com/royjames/room-impulse-responses
https://github.com/tommytracey/aind-capstone
Residual LSTM: Design of a Deep Recurrent Architecture for Distant Speech Recognition
https://github.com/walterheymans/pytorch-kaldi-gan
https://github.com/wponghiran/imp-snns-for-sl
https://github.com/xpz123/pytorch-kaldi
https://github.com/yrhvivian/pytorch-kaldi
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.