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End-to-End Multi-Speaker Speech Recognition Using Speaker Embeddings and Transfer Learning

机译：使用扬声器嵌入和转移学习的端到端多扬声器语音识别

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Pavel Denisov; Ngoc Thang Vu;
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年度 2019
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1. Advances in Multi-speaker Conversational Speech Recognition and Understanding [J] . Takaaki Hori, Shoko Araki, Tomohiro Nakatani, NTT Technical Review . 2013,第12期

机译：多说话人会话语音识别与理解的新进展
2. Representation transfer learning from deep end-to-end speech recognition networks for the classification of health states from speech [J] . Benjamin Sertolli, Zhao Ren, Bjoern W. Schuller, Computer speech and language . 2021,第Jula期

机译：从言语中，从深端到端语音识别网络中的代表转移学习
3. A unified approach to transfer learning of deep neural networks with applications to speaker adaptation in automatic speech recognition [J] . Huang Zhen, Siniscalchi Sabato Marco, Lee Chin-Hui Neurocomputing . 2016,第DECa19期

机译：深度神经网络转移学习的统一方法及其在自动语音识别中的说话人自适应中的应用
4. MIMO-Speech: End-to-End Multi-Channel Multi-Speaker Speech Recognition [C] . Xuankai Chang, Wangyou Zhang, Yanmin Qian, IEEE Automatic Speech Recognition and Understanding Workshop . 2019

机译：MIMO-Speech：端到端多通道多扬声器语音识别
5. Neural Network Based Representation Learning and Modeling for Speech and Speaker Recognition [D] . Guo, Jinxi. 2019

机译：基于神经网络的语言和扬声器识别的模拟
6. The Dynamics of Attention Shifts Among Concurrent Speech in a Naturalistic Multi-speaker Virtual Environment [O] . Keren Shavit-Cohen, Elana Zion Golumbic 2019

机译：自然多说话者虚拟环境中并发语音中注意转移的动力学
7. Speaker-Aware Training of Attention-Based End-to-End Speech Recognition Using Neural Speaker Embeddings [O] . Aku Rouhe, Tuomas Kaseva, Mikko Kurimo 2020

机译：使用神经扬声器嵌入的扬声器感知注意力的关注结束语音识别

End-to-End Multi-Speaker Speech Recognition Using Speaker Embeddings and Transfer Learning

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