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Statistical Model of Speech Signals Based on Composite Autoregressive System with Application to Blind Source Separation

机译：基于复合自回归系统的语音信号统计模型及其在盲源分离中的应用

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Hirokazu Kameoka; Takuya Yoshioka; Mariko Hamamura; Jonathan Le Roux; Kunio Kashino;
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年度 2013
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专利

1. An Approach for Solving the Permutation Problem of Convolutive Blind Source Separation Based on Statistical Signal Models [J] . Mazur R., Mertins A. IEEE transactions on audio, speech and language processing . 2009,第1期

机译：基于统计信号模型的卷积盲源分离置换问题解决方法
2. Frequency-Domain Blind Source Separation of Many Speech Signals Using Near-Field and Far-Field Models [J] . Ryo Mukai, Hiroshi Sawada, Shoko Araki, EURASIP journal on applied signal processing . 2006,第20期

机译：使用近场和远场模型的许多语音信号的频域盲源分离
3. Frequency-Domain Blind Source Separation of Many Speech Signals Using Near-Field and Far-Field Models [J] . Ryo Mukai, Hiroshi Sawada, Shoko Araki, EURASIP journal on advances in signal processing . 2006,第1期

机译：使用近场和远场模型的许多语音信号的频域盲源分离
4. Statistical Model of Speech Signals Based on Composite Autoregressive System with Application to Blind Source Separation [C] . Hirokazu Kameoka, Takuya Yoshioka, Mariko Hamamura, Latent variable analysis and signal separation . 2010

机译：基于复合自回归系统的语音信号统计模型及其在盲源分离中的应用
5. Blind Source Separation of Speech Signals: Exploiting Second Order Statistics [D] . Madanagopal, Vishaal. 2018

机译：语音信号的盲来源分离：利用二阶统计
6. Underdetermined Blind Source Separation of Synchronous Orthogonal Frequency Hopping Signals Based on Single Source Points Detection [O] . Chaozhu Zhang, Yu Wang, Fulong Jing 2017

机译：基于单源点检测的同步正交跳频信号欠定盲源分离
7. Frequency-Domain Blind Source Separation of Many Speech Signals Using Near-Field and Far-Field Models [O] . Ryo Mukai, Hiroshi Sawada, Shoko Araki, 2006

机译：使用近场和远场模型的许多语音信号的频域盲源分离

Statistical Model of Speech Signals Based on Composite Autoregressive System with Application to Blind Source Separation

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