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Evaluating expressive speech synthesis from audiobooks in conversational phrases
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Rapidly Testing the Interaction Model of a Pronunciation Training System via Wizard-of-Oz.
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WinkTalk: a multimodal speech synthesis interface linking facial expressions to expressive synthetic voices
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WinkTalk : a demonstration of a multimodal speech synthesis platform linking facial expressions to expressive synthetic voices
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Clustering Expressive Speech Styles in Audiobooks Using Glottal Source Parameters.
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Transforming Voice Source Parameters in a HMM-based Speech Synthesiser with Glottal Post-Filtering
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Abstract:
Control over voice quality, e.g. breathy and tense voice, is important for speech synthesis applications. For example, transformations can be used to modify aspects of the voice re- lated to speaker's identity and to improve expressiveness. How- ever, it is hard to modify voice characteristics of the synthetic speech, without degrading speech quality. State-of-the-art sta- tistical speech synthesisers, in particular, do not typically al- low control over parameters of the glottal source, which are strongly correlated with voice quality. Consequently, the con- trol of voice characteristics in these systems is limited. In con- trast, the HMM-based speech synthesiser proposed in this paper uses an acoustic glottal source model. The system passes the glottal signal through a whitening filter to obtain the excitation of voiced sounds. This technique, called glottal post-filtering, allows to transform voice characteristics of the synthetic speech by modifying the source model parameters. We evaluated the proposed synthesiser in a perceptual ex- periment, in terms of speech naturalness, intelligibility, and similarity to the original speaker's voice. The results show that it performed as well as a HMM-based synthesiser, which generates the speech signal with a commonly used high-quality speech vocoder.
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URL: http://hdl.handle.net/1842/4662
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HMM-based speech synthesis using an acoustic glottal source model
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Glottal Source and Prosodic Prominence Modelling in HMM-based Speech Synthesis for the Blizzard Challenge 2009
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Glottal Spectral Separation for Parametric Speech Synthesis
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Towards an improved modeling of the glottal source in statistical parametric speech synthesis
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