The automatic derivation of word pronunciations from input text is a central task for any text-to-speech system. For general English text at least, this is often thought to be a solved problem, with manually-derived linguistic rules assumed capable of handling "novel" words missing from the system d
Intonation component of a text-to-speech system for Hindi
β Scribed by A.S. Madhukumar; S. Rajendran; B. Yegnanarayana
- Publisher
- Elsevier Science
- Year
- 1993
- Tongue
- English
- Weight
- 540 KB
- Volume
- 7
- Category
- Article
- ISSN
- 0885-2308
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β¦ Synopsis
In this paper, we describe some features of the fundamental frequency (\left(\mathrm{F}{0}\right)) contours of speech in Hindi and propose an approach to represent and activate this intonation knowledge for an unrestricted text-to-speech system for Hindi. As in most languages, the declarative sentences in Hindi show a declining pattern of (\mathrm{F}{0}) contour, whereas interrogative sentences show a rising (F_{0}) contour. The backdrop declining or rising pattern is characterized by local falls and rises which are determined by the phonological pattern of the constituent words. In complex declarative sentences the (F_{0}) contour resets at major syntactic boundaries. Experiments to obtain the inherent (F_{0}) of segments are described. The intonation knowledge derived from analysis of speech is coded in a production system format. Intelligibility and naturalness of the synthesized speech improved significantly after incorporation of the intonation rules.
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