Papers with Code 아카이브
Sequence-To-Sequence Speech Recognition
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Avoid Overthinking in Self-Supervised Models for Speech Recognition
Language-agnostic Code-Switching in Sequence-To-Sequence Speech Recognition
Instant One-Shot Word-Learning for Context-Specific Neural Sequence-to-Sequence Speech Recognition
Low-Latency Sequence-to-Sequence Speech Recognition and Translation by Partial Hypothesis Selection
Integrating Knowledge into End-to-End Speech Recognition from External Text-Only Data
Improving sequence-to-sequence speech recognition training with on-the-fly data augmentation
Unsupervised pre-training for sequence to sequence speech recognition
Learn Spelling from Teachers: Transferring Knowledge from Language Models to Sequence-to-Sequence Speech Recognition
Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
On the Choice of Modeling Unit for Sequence-to-Sequence Speech Recognition
Sequence-Level Knowledge Distillation for Model Compression of Attention-based Sequence-to-Sequence Speech Recognition
Multimodal Grounding for Sequence-to-Sequence Speech Recognition
Analysis of Multilingual Sequence-to-Sequence speech recognition systems
Language model integration based on memory control for sequence to sequence speech recognition
Multilingual sequence-to-sequence speech recognition: architecture, transfer learning, and language modeling
Multi-scale Alignment and Contextual History for Attention Mechanism in Sequence-to-sequence Model
A Comparison of Modeling Units in Sequence-to-Sequence Speech Recognition with the Transformer on Mandarin Chinese
Syllable-Based Sequence-to-Sequence Speech Recognition with the Transformer in Mandarin Chinese
Sequence-to-Sequence Models Can Directly Translate Foreign Speech
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.