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| Improvement of minimum tracking in Minimum Statistics noise estimation method
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Full
text: |
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Source |
Signal Processing: An International Journal (SPIJ) |
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Table of Contents |
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Download
Complete Issue PDF(1.86MB) |
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Volume: 4 Issue: 1 |
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Pages: 1-67 |
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Publication
Date: March 2010 |
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ISSN
(Online): 1985-2339 |
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Pages |
17 - 22 |
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Author(s) |
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Published
Date |
26-03-2010 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: End point Detection, Distributed Speech Recognition , Voice activity detection , Zero Cross Rating , Robust speech recognition , Volume |
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| Noise spectrum estimation is a fundamental component of speech enhancement and speech
recognition systems. In this paper we propose a new method for minimum tracking in Minimum
Statistics (MS) noise estimation method. This noise estimation algorithm is proposed for highly nonstationary
noise environments. This was confirmed with formal listening tests which indicated that the
proposed noise estimation algorithm when integrated in speech enhancement was preferred over
other noise estimation algorithms. |
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| Hassan Farsi : Colleagues
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