Andrew Breen

Andrew Breen
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Main area of research
Text to speech

Andrew Breen’s research interest is in the area of text to speech.

Selected articles

Creating expressive TTS voices for conversation agent applications

Text-to-Speech has traditionally been viewed as a “black box” component, where standard “portfolio” voices are typically offered with a professional but “neutral” speaking style. For

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Voice in the user interface

Interacting with voice-based interfaces on a broad variety of devices spanning smartphones, tablets, TVs, cars, and kiosks is becoming a routine part of daily life.

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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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Synthesis by generation and concatenation of multiform segments

Machine generated speech can be produced in different ways however there are two basic methods for synthesizing speech in widespread use. One method generates speech

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Towards automatic phonetic segmentation for TTS

Phonetic segmentation is an important step in the development of a concatenative TTS voice. This paper introduces a segmentation process consisting of two phases. First,

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