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End-to-End Speaker Diarization for an Unknown Number of Speakers with Encoder-Decoder Based Attractors

机译：用于基于编码器解码器的扬声器数量未知数量的扬声器的端到端扬声器深度

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Shota Horiguchi; Yusuke Fujita; Shinji Watanabe; Yawen Xue; Kenji Nagamatsu;
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1. Analysis of Speaker Diarization Based on Bayesian HMM With Eigenvoice Priors [J] . Mireia Diez, Lukáš Burget, Federico Landini, Audio, Speech, and Language Processing, IEEE/ACM Transactions on . 2020,第期

机译：基于贝叶斯·汉姆与特征神奇前锋的扬声器日益衰退分析
2. Unsupervised help-trained LS-SVR-based segmentation in speaker diarization system [J] . Teimoori Farshad, Razzazi Farbod Multimedia Tools and Applications . 2019,第9期

机译：说话人区分系统中未经监督的，经过训练的基于LS-SVR的分割
3. A new architecture based VAD for speaker diarization/detection systems [J] . Ouassila Kenai, Siham Ouamour, Mhania Guerti, International journal of speech technology . 2019,第3期

机译：基于新架构的VAD，用于说话人区分/检测系统
4. End-To-End Diarization for Variable Number of Speakers with Local-Global Networks and Discriminative Speaker Embeddings [C] . Soumi Maiti, Hakan Erdogan, Kevin Wilson, IEEE International Conference on Acoustics, Speech and Signal Processing . 2021

机译：具有本地全球网络和鉴别扬声器嵌入的可变数量扬声器的端到端日复速
5. Anchor Word based Deep Attractor Network for Multi-Speaker Separation [D] . Qian Jiayi 2019

机译：基于锚词的深层吸引网络用于多扬声器分离
6. Supervised Speaker Diarization Using Random Forests: A Tool for Psychotherapy Process Research [O] . Lukas Fürer, Nathalie Schenk, Volker Roth, 2020

机译：使用随机森林监督扬声器日期：一种心理治疗过程研究的工具
7. End-to-End Losses Based on Speaker Basis Vectors and All-Speaker Hard Negative Mining for Speaker Verification [O] . Hee-Soo Heo, Jee-weon Jung, IL-Ho Yang, 2019

机译：基于扬声器基础向量的端到端损失以及发言者核实的全扬声器硬消耗挖掘
8. Robust Speech Processing & Recognition: Speaker ID, Language ID, Speech Recognition/Keyword Spotting, Diarization/Co-Channel/Environmental Characterization, Speaker State Assessment. [R] . Hansen, J. H. 2015

机译：强大的语音处理和识别：说话者ID，语言ID，语音识别/关键字识别，Diarization / Co-Channel /环境表征，说话者状态评估。

End-to-End Speaker Diarization for an Unknown Number of Speakers with Encoder-Decoder Based Attractors

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