Cart (Loading....) | Create Account
Close category search window
 

Analysis of stream-dependent tying structure for HMM-based speech synthesis

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Zhi-Peng Yu ; Nagoya Inst. of Technol., Nagoya ; Yi-Jian Wu ; Zen, H. ; Nankaku, Y.
more authors

In conventional HMM-based speech synthesis framework, spectral features are modeled in one stream, and stream-dependent tree-based clustering was then applied for tying the model parameters. In this paper, we investigate several different stream-dependent tying structures for spectral features by splitting the feature vector into several streams. One splitting approach is to split each feature dimension into each stream. Another one is to split the static and dynamic features into different streams. Although splitting spectral features into different streams would ignore the correlation of context dependency between them, the number of model parameters can be optimized for each stream after stream-dependent clustering. From the experimental results, both splitting approaches can improve the quality of synthesized speech. However, the quality of synthesized speech became worse when we combined these two splitting approaches.

Published in:

Signal Processing, 2008. ICSP 2008. 9th International Conference on

Date of Conference:

26-29 Oct. 2008

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.