Back to Results
First PageMeta Content
Computational linguistics / Science / Speech synthesis / Articulatory synthesis / Speech recognition / Voice / Vowel / Articulatory phonetics / Hidden Markov model / Phonetics / Linguistics / Human voice


IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 21, NO. 1, JANUARYArticulatory Control of HMM-Based Parametric Speech Synthesis Using Feature-Space-Switched
Add to Reading List

Document Date: 2013-04-25 21:58:00


Open Document

File Size: 2,76 MB

Share Result on Facebook

City

the HMM / Control of HMM / Florence / /

Company

THE EXPERIMENTS / /

Country

Italy / /

Currency

USD / /

/

Facility

University of Science / University of Edinburgh / /

IndustryTerm

data-driven machine learning algorithms / ve systems / magnetic resonance imaging / test / parameter generation algorithm / control systems / data processing techniques / extra smoothing algorithms / carrier sentence / computer-assisted language learning applications / /

MusicAlbum

U.K. / SPEECH / /

Organization

iFLYTEK Speech Lab / University of Edinburgh / Center for Speech Technology Research / China-Royal Society / University of Science and Technology of China / Hefei / National Natural Science Foundation / National Nature Science Foundation of China / /

Person

Korin Richmond / Hua Ling / Chung-Hsien Wu / /

Position

speaker / associate editor / model the relationship / single speaker / Markov model / speech synthesis / head / /

Product

HMMbased / /

Technology

speech recognition / MOPPG algorithm / extra smoothing algorithms / data-driven machine learning algorithms / magnetic resonance imaging / 1 algorithm / ultrasound / parameter generation algorithm / html / EM algorithm / Technology of China / CAT / PDF / MRI / The EM algorithm / conventional MOPPG algorithm / be estimated using the EM algorithm / be solved using the conventional MOPPG algorithm / /

URL

http /

SocialTag