Pitch Conversion for Unit Selection TTS Using Combination of Direct and Differential Features

In this paper, we convert the pitch contours predicted by a TTS system that models a source speaker to resemble the pitch contours of a target speaker. When the speaking styles of the speakers are very different, complex conversions such as adding or deleting pitch peaks may be required. Our method does the conversions by modeling the direct pitch features and differential pitch features at the same time based on linguistic features. The differential pitch features are calculated from matched pairs of source and target pitch values. We show experimental results in which the target speaker's characteristics are successfully modeled based on a very limited training corpus. The proposed pitch conversion method stretches the possibilities of TTS customization for various speaking styles.

By: Ryuki Tachibana, Zhiwei Shuang, and Masafumi Nishimura

Published in: RT0881 in 2009

This Research Report is not available electronically. Please request a copy from the contact listed below. IBM employees should contact ITIRC for a copy.

Questions about this service can be mailed to reports@us.ibm.com .