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Inventi Impact - Audio, Speech & Music Processing

Articles

  • Inventi:easm/58/14
    A PRELIMINARY DEMONSTRATION OF EXEMPLAR-BASED VOICE CONVERSION FOR ARTICULATION DISORDERS USING AN INDIVIDUALITY-PRESERVING DICTIONARY
    Ryo Aihara, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki

    We present in this paper a voice conversion (VC) method for a person with an articulation disorder resulting from athetoid cerebral palsy. The movement of such speakers is limited by their athetoid symptoms, and their consonants are often unstable or unclear, which makes it difficult for them to communicate. In this paper, exemplar-based spectral conversion using nonnegative matrix factorization (NMF) is applied to a voice with an articulation disorder. To preserve the speaker’s individuality, we used an individuality-preserving dictionary that is constructed from the source speaker’s vowels and target speaker’s consonants. Using this dictionary, we can create a natural and clear voice preserving their voice’s individuality. Experimental results indicate that the performance of NMF-based VC is considerably better than conventional GMM-based VC.

    How to Cite this Article
    CC Compliant Citation: Aihara et al.: A preliminary demonstration of exemplar-based voice conversion for articulation disorders using an individuality-preserving dictionary. EURASIP Journal on Audio, Speech, and Music Processing 2014 2014:5, doi:10.1186/1687-4722-2014-5. © 2014 Aihara et al.; licensee Springer. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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