| Paper: | AE-P1.10 | ||
| Session: | Loudspeaker and Microphone Array Signal Processing | ||
| Time: | Wednesday, May 19, 13:00 - 15:00 | ||
| Presentation: | Poster | ||
| Topic: | Audio and Electroacoustics: Loudspeaker and Microphone Array Signal Processing | ||
| Title: | MULTISTAGE SIMO-MODEL-BASED BLIND SOURCE SEPARATION COMBINING FREQUENCY-DOMAIN ICA AND TIME-DOMAIN ICA | ||
| Authors: | Satoshi Ukai; Nara Institute of Science and Technology | ||
| Hiroshi Saruwatari; Nara Institute of Science and Technology | |||
| Tomoya Takatani; Nara Institute of Science and Technology | |||
| Ryo Mukai; NTT Communication Science Laboratories | |||
| Hiroshi Sawada; NTT Communication Science Laboratories | |||
| Abstract: | In this paper, single-input multiple-output (SIMO)-model-based blind source separation (BSS) is addressed, where unknown mixed source signals are detected at the microphones, and these signals can be separated, not into monaural source signals but into SIMO-model-based signals from independent sources as they are at the microphones. This technique is highly applicable to high-fidelity signal processing such as binaural signal processing. First, we provide an experimental comparison between two kinds of the SIMO-model-based BSS methods, namely, traditional frequency-domain ICA with projection-back processing (FDICA-PB), and SIMO-ICA recently proposed by the authors. Secondly, we propose a new combination technique of the FDICA-PB and SIMO-ICA, which can achieve a more higher separation performance in comparison to two methods. The experimental results reveal that the accuracy of the separated SIMO signals in the simple SIMO-ICA is inferior to that of FDICA-PB, but the proposed combination technique can outperform both simple FDICA-PB and SIMO-ICA. | ||
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