Blind Separation of Acoustic Signals Combining SIMO-Model-Based Independent Component Analysis and Binary Masking
<p/> <p>A new two-stage blind source separation (BSS) method for convolutive mixtures of speech is proposed, in which a single-input multiple-output (SIMO)-model-based independent component analysis (ICA) and a new SIMO-model-based binary masking are combined. SIMO-model-based ICA enable...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2006-01-01
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| Series: | EURASIP Journal on Advances in Signal Processing |
| Online Access: | http://dx.doi.org/10.1155/ASP/2006/34970 |
| _version_ | 1818760317675503616 |
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| author | Hiekata Takashi Ikeda Youhei Hashimoto Hiroshi Morita Takashi Mori Yoshimitsu Saruwatari Hiroshi Takatani Tomoya Ukai Satoshi Shikano Kiyohiro |
| author_facet | Hiekata Takashi Ikeda Youhei Hashimoto Hiroshi Morita Takashi Mori Yoshimitsu Saruwatari Hiroshi Takatani Tomoya Ukai Satoshi Shikano Kiyohiro |
| author_sort | Hiekata Takashi |
| collection | DOAJ |
| description | <p/> <p>A new two-stage blind source separation (BSS) method for convolutive mixtures of speech is proposed, in which a single-input multiple-output (SIMO)-model-based independent component analysis (ICA) and a new SIMO-model-based binary masking are combined. SIMO-model-based ICA enables us to separate the mixed signals, not into monaural source signals but into SIMO-model-based signals from independent sources in their original form at the microphones. Thus, the separated signals of SIMO-model-based ICA can maintain the spatial qualities of each sound source. Owing to this attractive property, our novel SIMO-model-based binary masking 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 the proposed method compared with that achieved by conventional BSS methods. In addition, the real-time implementation of the proposed BSS is illustrated.</p> |
| first_indexed | 2024-12-18T06:56:42Z |
| format | Article |
| id | doaj.art-01f9973590734392acc0b6e25902aeee |
| institution | Directory Open Access Journal |
| issn | 1687-6172 1687-6180 |
| language | English |
| last_indexed | 2024-12-18T06:56:42Z |
| publishDate | 2006-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Advances in Signal Processing |
| spelling | doaj.art-01f9973590734392acc0b6e25902aeee2022-12-21T21:17:10ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802006-01-0120061034970Blind Separation of Acoustic Signals Combining SIMO-Model-Based Independent Component Analysis and Binary MaskingHiekata TakashiIkeda YouheiHashimoto HiroshiMorita TakashiMori YoshimitsuSaruwatari HiroshiTakatani TomoyaUkai SatoshiShikano Kiyohiro<p/> <p>A new two-stage blind source separation (BSS) method for convolutive mixtures of speech is proposed, in which a single-input multiple-output (SIMO)-model-based independent component analysis (ICA) and a new SIMO-model-based binary masking are combined. SIMO-model-based ICA enables us to separate the mixed signals, not into monaural source signals but into SIMO-model-based signals from independent sources in their original form at the microphones. Thus, the separated signals of SIMO-model-based ICA can maintain the spatial qualities of each sound source. Owing to this attractive property, our novel SIMO-model-based binary masking 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 the proposed method compared with that achieved by conventional BSS methods. In addition, the real-time implementation of the proposed BSS is illustrated.</p>http://dx.doi.org/10.1155/ASP/2006/34970 |
| spellingShingle | Hiekata Takashi Ikeda Youhei Hashimoto Hiroshi Morita Takashi Mori Yoshimitsu Saruwatari Hiroshi Takatani Tomoya Ukai Satoshi Shikano Kiyohiro Blind Separation of Acoustic Signals Combining SIMO-Model-Based Independent Component Analysis and Binary Masking EURASIP Journal on Advances in Signal Processing |
| title | Blind Separation of Acoustic Signals Combining SIMO-Model-Based Independent Component Analysis and Binary Masking |
| title_full | Blind Separation of Acoustic Signals Combining SIMO-Model-Based Independent Component Analysis and Binary Masking |
| title_fullStr | Blind Separation of Acoustic Signals Combining SIMO-Model-Based Independent Component Analysis and Binary Masking |
| title_full_unstemmed | Blind Separation of Acoustic Signals Combining SIMO-Model-Based Independent Component Analysis and Binary Masking |
| title_short | Blind Separation of Acoustic Signals Combining SIMO-Model-Based Independent Component Analysis and Binary Masking |
| title_sort | blind separation of acoustic signals combining simo model based independent component analysis and binary masking |
| url | http://dx.doi.org/10.1155/ASP/2006/34970 |
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