R. Clark

Publications101
h-index24
Citations1,693
Highly Influential Citations91
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Multisyn: Open-domain unit selection for the Festival speech synthesis system
TLDR
We present the implementation and evaluation of an open-domain unit selection speech synthesis engine designed to be flexible enough to encourage further unit selection research and allow rapid voice development by users with minimal speech synthesis knowledge. Expand
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Festival 2 - build your own general purpose unit selection speech synthesiser
TLDR
This paper describes version 2 of the Festival speech synthesis system. Expand
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The Blizzard Challenge 2008
The Blizzard Challenge 2008 was the fourth annual Blizzard Challenge. This year, participants were asked to build two voices from a UK English corpus and one voice from a Man- darin Chinese corpus.… Expand
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On generating combilex pronunciations via morphological analysis
TLDR
This paper explores one of these: the ability to generate fully-specified transcriptions for morphologically derived words automatically. Expand
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Robust LTS rules with the Combilex speech technology lexicon
TLDR
Combilex is a high quality pronunciation lexicon, aimed at speech technology applications, that has recently been released by CSTR. Expand
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Behavioural and cognitive influences of kairomones on an araneophagic jumping spider
In laboratory experiments, Portia fimbriata, an araneophagic salticid from Queensland, was influenced by olfactory and contact-chemical cues from Jacksonoides queenslandicus, an abundant salticid on… Expand
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Statistical analysis of the Blizzard Challenge 2007 listening test results
Blizzard 2007 is the third Blizzard Challenge, in which participants build voices from a common dataset. A large listening test is conducted which allows comparison of systems in terms of naturalness… Expand
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Synthesis and evaluation of conversational characteristics in HMM-based speech synthesis
TLDR
Spontaneous conversational speech has many characteristics that are currently not modelled well by HMM-based speech synthesis and in order to build synthetic voices that can give an impression of someone partaking in a conversation, we need to utilise data that exhibits more of the speech phenomena associated with conversations than the more generally used carefully read aloud sentences. Expand
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Unsupervised and lightly-supervised learning for rapid construction of TTS systems in multiple languages from 'found' data: evaluation and analysis
TLDR
This paper presents techniques for building text-to-speech frontends in a way that avoids the need for language-specific expert knowledge, but instead relies on universal resources (such as the Unicode character database) and unsupervised learning from unannotated data to ease system development. Expand
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Listeners' weighting of acoustic cues to synthetic speech naturalness: A multidimensional scaling analysis
TLDR
The quality of current commercial speech synthesis systems is now so high that system improvements are being made at subtle sub- and supra-segmental levels. Expand
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