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- W1531020154 abstract "Parametric speech synthesis techniques depend on full context acoustic models generated by language front-ends, which analyse linguistic and phonetic structure. HTS, the leading parametric synthesis system, can use a number of different front-ends to generate full context models for synthesis and training. In this paper we explore the use of a new text processing front-end that has been added to the speech recognition toolkit Kaldi as part of an ongoing project to produce a new parametric speech synthesis system, Idlak. The use of XML specification files, a modular design, and modern coding and testing approaches, make the Idlak front-end ideal for adding, altering and experimenting with the contexts used in full context acoustic models. The Idlak front-end was evaluated against the standard Festival front-end in the HTS system. Results from the Idlak front-end compare well with the more mature Festival front-end (Idlak 2.83 MOS vs Festival - 2.85 MOS), although a slight reduction in naturalness perceived by non-native English speakers can be attributed to Festival’s insertion of non-punctuated pauses. Index Terms: speech synthesis, text processing, parametric synthesis, Kaldi, Idlak" @default.
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- W1531020154 date "2014-09-14" @default.
- W1531020154 modified "2023-09-26" @default.
- W1531020154 title "A flexible front-end for HTS" @default.
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- W1531020154 doi "https://doi.org/10.21437/interspeech.2014-320" @default.
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