Journal of Science

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Author: search.filters.author.Dias, N.G.J.

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    Automatic Segmentation of Separately Pronounced Sinhala Words into Syllables
    (University of Kelaniya, 2011) Priyadarshani, P.G.N.; Dias, N.G.J.
    Aligned corpora are widely used in various speech applications like automatic speech recognition, speech synthesis, as well as prosodic and phonetic research. The segmentation into syllables can be done manually or automatically. But it consumes significantly more time for a fully manual phonetic segmentation and practically it is a complicated task because in many cases it requires a large aligned speech corpus. If the manual syllabification is done by a group of individuals then the consistency is decreased because the analysis variations of the individuals. Consequently, there is a dire need for automatic syllabification and it is important because Sinhala language is syllable centric in nature. A method for syllabification of acoustic signals of separately pronounced Sinhala words has been given. Detecting the syllable boundaries was achieved by two main phases and those phases have been described with examples. Keywords:
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    Practical Issues in the Development of TTS and SR For The Sinhala Language
    (University of Kelaniya, 2007) Wickramasinghe, R.I.P.; Kumara, K. H.; Dias, N.G.J.
    In this study, discussed some issues that are arising in the development of Text-to-Speech (TTS) and Speech Recognition (SR) systems for the Sinhala language are discussed. There are numerous benefits of TTS and SR to Sinhala community. In the context of Sinhala language, the Natural Language Processing (NLP) technologies are in the primary stage in comparison with other languages such as English, French, German, Japanese etc. Since current TTS and SR development environments are far from being language independent, the existing systems cannot be adopted directly to the Sinhala language. This contribution outlines problematic areas that come across in the development of TTS and SR systems for Sinhala language. While discussing those problems, some of the possible solution strategies for both TTS and SR development have been formulated.
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    Automatic Segmentation Of Given Set Of Sinhala Text Into Syllables For Speech Synthesis
    (University of Kelaniya, 2007) Kumara, K.H.; Dias, N.G.J.; Sirisena, H.
    A dictionary based automatic syllabification tool has been given for Speech Synthesis in Sinhala language. This tool is also capable of providing frequency distributions of Vowels, Consonants and Syllables for a given set of Sinhala text. A method of determining syllable boundaries has also been shown. Detection of Syllable boundaries for a given Sinhala sentence is achieved by four main phases and those phases have been described with examples. Rules for the automatic segmentation of words into syllables have been derived based on a dictionary. An algorithm has been produced for the implementation of these rules which utilizes the dictionary together with an accurate mark up of the syllable boundaries.