https://github.com/dannigt/NMTGMinor.lowLatency
공식 코드Low-Latency Sequence-to-Sequence Speech Recognition and Translation by Partial Hypothesis Selection
Papers with Code 아카이브
Sequence-To-Sequence Speech Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/tensorflow/lingvo
공식 코드Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
https://github.com/thaisonngn/pynn/tree/memory/pynn
공식 코드Instant One-Shot Word-Learning for Context-Specific Neural Sequence-to-Sequence Speech Recognition
https://github.com/30stomercury/Automatic_Speech_Recognition
On the Choice of Modeling Unit for Sequence-to-Sequence Speech Recognition
https://github.com/colaprograms/speechify
Sequence-to-Sequence Models Can Directly Translate Foreign Speech
https://github.com/cosmoquester/speech-recognition
On the Choice of Modeling Unit for Sequence-to-Sequence Speech Recognition
https://github.com/galv/lingvo-copy
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
https://github.com/gentaiscool/end2end-asr-pytorch
Syllable-Based Sequence-to-Sequence Speech Recognition with the Transformer in Mandarin Chinese
https://github.com/srvk/how2-dataset
Multimodal Grounding for Sequence-to-Sequence Speech Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.