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| LEADER |
01235 am a22001693u 4500 |
| 001 |
1987 |
| 042 |
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|a dc
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| 100 |
1 |
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|a Moir, T
|e author
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| 700 |
1 |
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|a Alam, F
|e author
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| 700 |
1 |
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|a Harris, J
|e author
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| 245 |
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|a Blind source separation for adaptive speech control
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| 260 |
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|b AUT University,
|c 2011-09-05T23:34:40Z.
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| 500 |
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|a The eighteenth annual Conference on Mechatronics and Machine Vision in Practice, Brisbane, Australia, 2011-12-06 - 2011-12-08
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| 520 |
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|a Crosstalk resistant adaptive noise cancellation (CTRANC) is a method of separat-ing convolutively mixed sources where little a priori information is known about the system. Possible areas of application for such an algorithm include speech sig-nal processing, in telecommunications, and in the biomedical industry. In this pa-per we propose a novel adaptation to the traditional CTRANC which increases computational efficiency when the number of sources fits the requirement of where and . Preliminary results also show a modest im-provement in separation performance when comparing it to the multiple-input multiple-output method proposed by Mei and Yin (2004).
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| 540 |
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|a OpenAccess
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7 |
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|a Conference Contribution
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| 856 |
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|z Get fulltext
|u http://hdl.handle.net/10292/1987
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