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» Improved F0 modeling and generation in voice conversion
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CIKM
2007
Springer
13 years 11 months ago
A segment-based hidden markov model for real-setting pinyin-to-chinese conversion
Hidden markov model (HMM) is frequently used for Pinyin-toChinese conversion. But it only captures the dependency with the preceding character. Higher order markov models can brin...
Xiaohua Zhou, Xiaohua Hu, Xiaodan Zhang, Xiajiong ...
ICASSP
2011
IEEE
12 years 11 months ago
HMM-based speech synthesiser using the LF-model of the glottal source
A major factor which causes a deterioration in speech quality in HMM-based speech synthesis is the use of a simple delta pulse signal to generate the excitation of voiced speech. ...
João P. Cabral, Steve Renals, Junichi Yamag...
SPEECH
2008
124views more  SPEECH 2008»
13 years 7 months ago
Statistical mapping between articulatory movements and acoustic spectrum using a Gaussian mixture model
In this paper, we describe a statistical approach to both an articulatory-to-acoustic mapping and an acoustic-to-articulatory inversion mapping without using phonetic information....
Tomoki Toda, Alan W. Black, Keiichi Tokuda
JUCS
2007
133views more  JUCS 2007»
13 years 7 months ago
Building Immersive Conversation Environment Using Locomotive Interactive Character
: Generating composite human motion such as locomotion and gestures is important for interactive applications, such as interactive storytelling and computer games. In interactive s...
Rai Chan, Junichi Hoshino
ICASSP
2011
IEEE
12 years 11 months ago
Generating compound words with high order n-gram information in large vocabulary speech recognition systems
In this work we concentrate on generating compound words with high order n-gram information for speech recognition. In most existing compound words generation methods, only bi-gra...
Jie Zhou, Qin Shi, Yong Qin