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Separation of Multiple Speech Signals by Using Triangular Microphone Array
| Content Provider | Semantic Scholar |
|---|---|
| Author | Hamada, Nozomu |
| Copyright Year | 2008 |
| Abstract | Speech source separation has been an important topic to realize speech-based human-machine interfaces or high quality hand-free communication with machines. For source separation, Independent Component Analysis (ICA) and time-frequency masking are powerful methods as a tool of Blind Source Separation (BSS) of speech mixtures. The latter method is based on the assumption called \W-Disjoint Orthogonality" which implies the cell component sparsity of speech in the time-frequency domain. One of the topics treated in this article is to introduce the time-frequency masking scheme is applied to the equilateral triangular array where the three delay estimates from each microphone pairs are obtained. In addition, it is used to improve histogram-mapping algorithm by integrate and coordinate transformation of three delay estimates. Some experiments in real environment for separating multiple sources are performed to verify the efiectiveness. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.ecti-thailand.org/assets/papers/233_pub_17.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
