A Mutual Information Algorithm for Text-Independent Voice Conversion
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International Journal of Engineering Trends and Technology (IJETT) | 
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| © 2015 by IJETT Journal | ||
| Volume-30 Number-8 |
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| Year of Publication : 2015 | ||
| Authors : Seyed Mehdi Iranmanesh, Behnam Dehghan |
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| DOI : 10.14445/22315381/IJETT-V30P275 |
Citation
Seyed Mehdi Iranmanesh, Behnam Dehghan"A Mutual Information Algorithm for Text-Independent Voice Conversion", International Journal of Engineering Trends and Technology (IJETT), V30(8),400-404 December 2015. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
Most of voice conversion systems require
parallel corpora for their training stage which means
that source and target speakers should utter the same
sentences. But in most practical applications, it is
impossible to obtain parallel corpora. To solve this
problem, text-independent voice conversion has been
introduced. The main problem in text-independent
voice conversion is data alignment. In this paper we
introduce a novel algorithm based on mutual
information for data alignment which shows the
similar results to those of text-dependent systems. This
algorithm does not require phonetic labeling and can
be used in practical applications.
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Keywords
Text-Independent Voice conversion,
Mutual Information, Frame alignment, Mel cepstral
frequency warping.