Sinhala grapheme-to-phoneme conversion and rules for schwa epenthesis

Wasala, Asanka; Weerasinghe, Ruvan; Gamage, Kumudu

doi:10.3115/1273073.1273187

Cited by 11 publications

(12 citation statements)

References 4 publications

(6 reference statements)

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“…Concatenative synthesis is based on the concatenation (or stringing together) of segments of recorded speech. There are three major sub-types of concatenative synthesis [8]:…”

Section: Overview Of Speech Synthesismentioning

confidence: 99%

Design and Implementation of Text To Speech Conversion for Visually Impaired People

Isewon¹,

Oyelade²,

Oladipupo³

2014

IJAIS

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A Text-to-speech synthesizer is an application that converts text into spoken word, by analyzing and processing the text using Natural Language Processing (NLP) and then using Digital Signal Processing (DSP) technology to convert this processed text into synthesized speech representation of the text. Here, we developed a useful text-to-speech synthesizer in the form of a simple application that converts inputted text into synthesized speech and reads out to the user which can then be saved as an mp3.file. The development of a text to speech synthesizer will be of great help to people with visual impairment and make making through large volume of text easier.

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“…Concatenative synthesis is based on the concatenation (or stringing together) of segments of recorded speech. There are three major sub-types of concatenative synthesis [8]:…”

Section: Overview Of Speech Synthesismentioning

confidence: 99%

Design and Implementation of Text To Speech Conversion for Visually Impaired People

Isewon¹,

Oyelade²,

Oladipupo³

2014

IJAIS

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“…This piece of information is very useful for speech synthesis and recognition application development. Syllabified phonetic transcriptions were automatically derived by applying the grapheme to phoneme (G2P) rules and the syllabification algorithm described in (Wasala et al, 2006) and (Weerasinghe et al, 2005) respectively that report 98% on G2P and 99% accuracy on syllabification. All phonetic transcriptions are given in International Phonetic Alphabet (IPA) symbols.…”

Section: Phonetic Transcriptionsmentioning

confidence: 99%

Corpus-based Sinhala lexicon

Weerasinghe

Herath

Welgama

2009

Proceedings of the 7th Workshop on Asian Language Resources - ALR7

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Lexicon is in important resource in any kind of language processing application. Corpus-based lexica have several advantages over other traditional approaches. The lexicon developed for Sinhala was based on the text obtained from a corpus of 10 million words drawn from diverse genres. The words extracted from the corpus have been labeled with parts of speech categories defined according to a novel classification proposed for Sinhala. The lexicon reports 80% coverage over unrestricted text obtained from online sources. The lexicon has been implemented in Lexical Mark up Framework.

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“…The method was proven to work well causing no delay at all. The 8 rules proposed in [10] expanded up to 817 rules when re-written in context sensitive format. However, some frequently encountered important words were found incorrectly phonetized by these rules.…”

Section: Letter-to-sound Conversionmentioning

confidence: 99%

“…We implemented the grapheme to phoneme (G2P) conversion architecture proposed by Wasala et al in [10]. In this architecture, the UTF-8 textual input is converted to ASCII based phonetic representation defined in the Festival.…”

Section: Letter-to-sound Conversionmentioning

confidence: 99%