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» Adaptive Training for Voice Conversion Based on Eigenvoices
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ICASSP
2009
IEEE
14 years 7 months ago
Phoneme cluster based state mapping for text-independent voice conversion
This paper takes phonetic information into account for data alignment in text-independent voice conversion. Hidden Markov Models are used for representing the phonetic structure o...
Meng Zhang, Jiaohua Tao, Jani Nurminen, Jilei Tian...
INTERSPEECH
2010
14 years 4 months ago
Probabilistic integration of joint density model and speaker model for voice conversion
This paper describes a novel approach to voice conversion using both a joint density model and a speaker model. In voice conversion studies, approaches based on Gaussian Mixture M...
Daisuke Saito, Shinji Watanabe, Atsushi Nakamura, ...
ICC
2000
IEEE
15 years 1 months ago
A Framework for the Analysis of Adaptive Voice over IP
— In this paper, we present a framework for the analysis of a set of adaptive variable-bit-rate voice sources in a packet network. The instantaneous bit rate of each source is de...
Claudio Casetti, J. C. De Martin, Michela Meo
ICASSP
2011
IEEE
14 years 1 months ago
A study of an irrelevant variability normalization based discriminative training approach for LVCSR
This paper presents a discriminative training (DT) approach to irrelevant variability normalization (IVN) based training of feature transforms and hidden Markov models for large v...
Yu Zhang, Jian Xu, Zhi-Jie Yan, Qiang Huo
ICC
2007
IEEE
134views Communications» more  ICC 2007»
15 years 3 months ago
MOS-Based Rate Adaption for VoIP Sources
—This paper proposes an algorithm for the adaptive adjustment of the transmission rate of VoIP sources based on the voice quality estimated at the receiver. This adjustment is ac...
Nilmax Teones Moura, Bruno A. Vianna, Célio...