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ICASSP
2009
IEEE
15 years 6 months ago
Trajectory training considering global variance for HMM-based speech synthesis
This paper presents a novel method for training hidden Markov models (HMMs) for use in HMM-based speech synthesis. The primary goal of HMM parameter optimization is to ensure that...
Tomoki Toda, Steve Young
ADS
2004
Springer
15 years 5 months ago
Dimensional Emotion Representation as a Basis for Speech Synthesis with Non-extreme Emotions
Past attempts to model emotions for speech synthesis have focused on extreme, “basic” emotion categories. The present paper suggests an alternative representation of emotional ...
Marc Schröder
CONCUR
2003
Springer
15 years 5 months ago
Synthesis of Distributed Algorithms Using Asynchronous Automata
Abstract. We apply the theory of asynchronous automata to the synthesis problem of closed distributed systems. We use safe asynchronous automata as implementation model, and charac...
Alin Stefanescu, Javier Esparza, Anca Muscholl
89
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INTERSPEECH
2010
14 years 6 months ago
Speaker and language adaptive training for HMM-based polyglot speech synthesis
This paper proposes a technique for speaker and language adaptive training for HMM-based polyglot speech synthesis. Language-specific context-dependencies in the system are captur...
Heiga Zen
INTERSPEECH
2010
14 years 6 months ago
Excitation modeling based on waveform interpolation for HMM-based speech synthesis
It is generally known that a well-designed excitation produces high quality signals in hidden Markov model (HMM)-based speech synthesis systems. This paper proposes a novel techni...
June Sig Sung, Doo Hwa Hong, Kyung Hwan Oh, Nam So...