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ICMCS
2005
IEEE
133views Multimedia» more  ICMCS 2005»
14 years 3 months ago
Multi-sensory speech processing: incorporating automatically extracted hidden dynamic information
We describe a novel technique for multi-sensory speech processing for enhancing noisy speech and for improved noiserobust speech recognition. Both air- and bone-conductive microph...
Amarnag Subramanya, Li Deng, Zicheng Liu, Zhengyou...
IEICET
2007
108views more  IEICET 2007»
13 years 9 months ago
Two-Band Excitation for HMM-Based Speech Synthesis
⎯The optimum maximum voiced frequency (MVF) estimation-based two-band excitation for hidden Markov model-based speech synthesis is presented. An analysis-by-synthesis scheme is a...
Sang-Jin Kim, Minsoo Hahn
COST
2007
Springer
118views Multimedia» more  COST 2007»
14 years 4 months ago
The Organization of a Neurocomputational Control Model for Articulatory Speech Synthesis
The organization of a computational control model of articulatory speech synthesis is outlined in this paper. The model is based on general principles of neurophysiology and cognit...
Bernd J. Kröger, Anja Lowit, Ralph Schnitker
ICASSP
2011
IEEE
13 years 1 months ago
Evaluation of objective measures for intelligibility prediction of HMM-based synthetic speech in noise
In this paper we evaluate four objective measures of speech with regards to intelligibility prediction of synthesized speech in diverse noisy situations. We evaluated three intell...
Cassia Valentini-Botinhao, Junichi Yamagishi, Simo...
ICMCS
2006
IEEE
101views Multimedia» more  ICMCS 2006»
14 years 3 months ago
Emotional Speech Synthesis using Subspace Constraints in Prosody
An efficient speech synthesis method that uses subspace constraint in prosody is proposed. Conventional unit selection methods concatenate speech segments stored in database, tha...
Shinya Mori, Tsuyoshi Moriyama, Shinji Ozawa