| Paper: | AE-P1.3 | ||
| Session: | Loudspeaker and Microphone Array Processing | ||
| Time: | Wednesday, May 17, 10:00 - 12:00 | ||
| Presentation: | Poster | ||
| Topic: | Audio and Electroacoustics: Loudspeaker and Microphone Array Signal Processing | ||
| Title: | Blind Source Separation Combining SIMO-ICA and SIMO-Model-Based Binary Masking | ||
| Authors: | Yoshimitsu Mori, Tomoya Takatani, Hiroshi Saruwatari, Nara Institute of Science and Technology, Japan; Takashi Hiekata, Takashi Morita, Kobe Steel, Ltd., Japan | ||
| Abstract: | A new two-stage blind source separation (BSS) for convolutive mixtures of speech is proposed, in which a Single-Input Multiple-Output (SIMO)-model-based ICA and a new SIMO-model-based binary mask processing are combined. SIMO-model-based ICA can separate the mixed signals, not into monaural source signals but into SIMO-model-based signals from independent sources as they are at the microphones. Thus, the separated signals of SIMO-model-based ICA can maintain the spatial qualities of each sound source. Owing to the attractive property, novel SIMO-model-based binary mask processing can be applied to efficiently remove the residual interference components after SIMO-model-based ICA. The experimental results reveal that the separation performance can be considerably improved by using the proposed method compared with the conventional BSS methods. | ||
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