NDLI: Modeling pitch trajectory by hierarchical HMM with minimum generation error training

Content Provider	IEEE Xplore Digital Library
Author	Yi-Jian Wu Soong, F.
Copyright Year	2012
Description	Author affiliation: Speech Group, Microsoft Research Asia, Beijing, China (Yi-Jian Wu; Soong, F.)
Abstract	A hierarchical pitch model (HPM) was recently proposed to HMM-based speech synthesis. In HPM, pitch trajectory is modeled as an additive combination of hierarchical layers (including state, phone, syllable, etc), and a minimum generation error (MGE) criterion is used to re-estimate model parameters. In this paper, we extend the MGE criterion to a tree-based model clustering process to simultaneously cluster the context-dependent models at all layers, and construct a full MGE training process for HPM training. Experiments were conducted to investigate the effects of HPM with different training criteria and different hierarchical layer combinations. Experimental results show that the full MGE training can significantly improve HPM's ability to predict F0 trajectory in TTS over the ML-based approach on test data. The new HPM also outperforms the conventional state-level HMM in F0 prediction.
Starting Page	4017
Ending Page	4020
File Size	133207
Page Count	4
File Format	PDF
ISBN	9781467300452
ISSN	15206149
e-ISBN	9781467300469
e-ISBN	9781467300445
DOI	10.1109/ICASSP.2012.6288799
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-25
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hidden Markov models Training Context modeling Vectors Speech synthesis Trajectory Additives minimum generation error hidden Markov model hierarchical pitch model
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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