Abstract
The pitch-synchronous overlap-add (PSOLA) speech synthesis method has been conventionally used for a high-quality waveform-concatenation. The basis lies in the periodic structure of voiced speech, i.e., the pitchmark. Though the PSOLA-synthesized sound has a high quality so far as the pitchmark detection is successful, it is sometimes degraded to a great extent when it fails to detect the pitchmark or, more fundamentally, when the sound is unvoiced consonant. In this paper, we propose a pitch-asynchronous waveform-concatenation speech synthesis method. It is based on an adaptive phase optimization by using a complex-valued neural processing to maintain a desirable degree of pulse sharpness. Experimental results demonstrate a successful generation of high-quality sound.
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© 2003 Springer-Verlag Berlin Heidelberg
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Tsuda, K., Hirose, A. (2003). Pitch-Asynchronous Overlap-Add Waveform-Concatenation Speech Synthesis by Using a Phase-Optimizing Neural Network. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2774. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45226-3_46
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DOI: https://doi.org/10.1007/978-3-540-45226-3_46
Publisher Name: Springer, Berlin, Heidelberg
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