Vincent Pollet

Vincent Pollet
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Main area of research
Text to speech

Vincent Pollet is a renowned expert in the field of speech synthesis and has been working for over 16 years at three different speech technology companies (L&H, Scansoft and Nuance) without ever having changed jobs. As prolific researcher he introduced new technologies and successfully transformed research into widely adopted speech products (RealSpeak, Vocalizer). Currently he manages and actively contributes to a team of speech experts to innovate, advance and deploy core speech technology.

Selected articles

Coherent Modification Of Pitch And Energy For Expressive Prosody Implantation

In expressive TTS and voice transformation systems, implantation of expressive prosody derived from external out-of-domain sources often leads to extreme pitch modification that compromises the

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Refined Statistical Model Tuning for Speech Synthesis

This paper describes a number of approaches to refine and tune statistical models for speech synthesis. The first approach is to tune the sizes of

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Refined inter-segment joining in multi-form speech synthesis

In multi-form speech synthesis, speech output is constructed by splicing waveform segments and parametric speech segments which are generated from statistical models. The decision whether to

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Psychoacoustic segment scoring for multi-form speech synthesis

In multi-form segment synthesis, output speech is constructed by splicing waveform segments with statistically modeled and regenerated parametric speech segments. The fraction of model-derived segments

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Uniform speech parameterization for multi-form segment synthesis

In multi-form segment synthesis speech is constructed by sequencing speech segments of different nature: model segments, i.e. mathematical abstractions of speech and template segments, i.e.

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