| Paper: | AE-P1.11 | ||
| 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: | BLIND SEPARATION OF BINAURAL SOUND MIXTURES USING SIMO-MODEL-BASED INDEPENDENT COMPONENT ANALYSIS | ||
| Authors: | Tomoya Takatani; Nara Institute of Science and Technology | ||
| Tsuyoki Nishikawa; Nara Institute of Science and Technology | |||
| Hiroshi Saruwatari; Nara Institute of Science and Technology | |||
| Kiyohiro Shikano; Nara Institute of Science and Technology | |||
| Abstract: | High-fidelity blind audio signal separation is addressed adopting the extended ICA algorithm, single-input multiple-output (SIMO)-model-based ICA. The SIMO-ICA consists of multiple ICA parts and a fidelity controller, and each ICA runs in parallel under fidelity control of the entire separation system. SIMO-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 the SIMO-ICA can maintain the spatial qualities of each sound source. In this paper, we apply the SIMO-ICA to blind separation problem of mixed binaural sounds including the effect of the head-related transfer function (HRTF). The experimental results reveal that the performance of the proposed SIMO-ICA is superior to that of the conventional ICA-based method, and the separated signals of SIMO-ICA maintain the spatial qualities of each sound source. | ||
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