Output details
15 - General Engineering
University of Cambridge
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Article title
Context adaptive training with factorized decision trees for HMM-based statistical parametric speech synthesis
Type
D - Journal article
Title of journal
SPEECH COMMUN
Article number
-
Volume number
53
Issue number
6
First page of article
914
ISSN of journal
0167-6393
Year of publication
2011
URL
-
Number of additional authors
3
Additional information
A preliminary version of this paper received a Best Paper award at the Interspeech 2010 conference, in the area of speech communication. It enables data-driven speech synthesis systems to convey prosodic information such as emphasis, contrast and emotion in spoken dialogue systems, which is critical to improving the naturalness of voice-based man-machine communications. It also provides the basis for the synthesis work-stream in the EU Parlance Project (https://sites.google.com/site/parlanceprojectofficial/).
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
