Computationally-Efficient Overdetermined Blind Source Separation Based on Iterative Source Steering von Du, Yicheng, Scheibler, Robin, Togami, Masahito, Yoshii, Kazuyoshi, Kawahara, Tatsuya

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Simultaneous Optimization of Acoustic Echo Reduction, Speech Dereverberation, and Noise Reduction against Mutual Interference von Togami, Masahito, Kawaguchi, Yohei

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Online speech source separation based on maximum likelihood of local Gaussian modeling von Togami, Masahito

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Multichannel Two-Stage Beamforming with Unconstrained Beamformer and Distortion Reduction von TOGAMI, Masahito, KAWAGUCHI, Yohei, OBUCHI, Yasunari

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Use of water cluster detector for preventing drunk and drowsy driving von Sakairi, Minoru, Togami, Masahito

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VOICE COMMUNICATION DEVICE, VOICE COMMUNICATION METHOD, AND VOICE COMMUNICATION PROGRAM von Togami, Masahito, Amano, Akio

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Stepwise Phase Difference Restoration Method for DOA Estimation of Multiple Sources von TOGAMI, Masahito, OBUCHI, Yasunari

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Portable Terminal Device von Takizawa, Kazuyuki, Togami, Masahito

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Optimized Speech Dereverberation From Probabilistic Perspective for Time Varying Acoustic Transfer Function von Togami, M., Kawaguchi, Y., Takeda, R., Obuchi, Y., Nukaga, N.

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Mass spectra separation for explosives detection by using probabilistic latent component analysis von Kawaguchi, Y., Togami, M., Nagano, H., Hashimoto, Y., Sugiyama, M., Takada, Y.

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Fundamentals and Trends on Sound Source Separation : Overview of Approaches with Probabilistic Model and Deep Learning: 確率モデル/深層学習に基づく方法の概観 von TOGAMI, Masahito

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Basic Design of Human-Symbiotic Robot EMIEW von Hosoda, Y., Egawa, S., Tamamoto, J., Yamamoto, K., Nakamura, R., Togami, M.

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Development of Human-Symbiotic Robot “EMIEW” – Design Concept and System Construction von Hosoda, Yuji, Egawa, Saku, Tamamoto, Junichi, Yamamoto, Kenjiro, Nakamura, Ryousuke, Togami, Masahito

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Surrogate Source Model Learning for Determined Source Separation von Scheibler, Robin, Togami, Masahito

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Sound Source Separation Using Latent Variational Block-Wise Disentanglement von Helwani, Karim, Togami, Masahito, Smaragdis, Paris, Goodwin, Michael M

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Multi-channel Time-Varying Covariance Matrix Model for Late Reverberation Reduction von Togami, Masahito

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Label-Synchronous Speech-to-Text Alignment for ASR Using Forward and Backward Transformers von Kida, Yusuke, Komatsu, Tatsuya, Togami, Masahito

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Multichannel speech dereverberation and separation with optimized combination of linear and non-linear filtering von Togami, M., Kawaguchi, Y., Takeda, R., Obuchi, Y., Nukaga, N.

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Consistency-aware multi-channel speech enhancement using deep neural networks von Masuyama, Yoshiki, Togami, Masahito, Komatsu, Tatsuya

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Surrogate Source Model Learning for Determined Source Separation von Scheibler, Robin, Togami, Masahito

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