Journal of Advanced Marine Engineering and Technology

  • 제38권2호
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  • Pages.182-187
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  • 2014
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  • 2234-7925(pISSN)
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  • 2234-8352(eISSN)
한국마린엔지니어링학회 (The Korean Society of Marine Engineering)
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A nonlinear transformation methods for GMM to improve over-smoothing effect

  • Chae, Yi Geun (Department of Computer Engineering, College of Engineering, Kongju National University)
  • 투고 : 2014.01.21
  • 심사 : 2014.02.17
  • 발행 : 2014.02.28
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초록

We propose nonlinear GMM-based transformation functions in an attempt to deal with the over-smoothing effects of linear transformation for voice processing. The proposed methods adopt RBF networks as a local transformation function to overcome the drawbacks of global nonlinear transformation functions. In order to obtain high-quality modifications of speech signals, our voice conversion is implemented using the Harmonic plus Noise Model analysis/synthesis framework. Experimental results are reported on the English corpus, MOCHA-TIMIT.

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참고문헌

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