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Oancea, Eugeniu; Badulescu, Adriana

doi:10.1023/a:1020240723560

Cited by 6 publications

References 4 publications

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A statistical approach to lexical stress assignment for TTS synthesis

Ungurean

Burileanu

Dervis

2009

Int J Speech Technol

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Lexical stress is primarily important to generate a correct pronunciation of words in many languages; hence its correct placement is a major task in prosody prediction and generation for high-quality TTS (text-to-speech) synthesis systems. This paper proposes a statistical approach to lexical stress assignment for TTS synthesis in Romanian. The method is essentially based on n-gram language models at character level, and uses a modified Katz backoff smoothing technique to solve the problem of data sparseness during training. Monosyllabic words are considered as not carrying stress, and are separated by an automatic syllabification algorithm. A maximum accuracy of 99.11% was obtained on a test corpus of about 47,000 words.

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A statistical approach to lexical stress assignment for TTS synthesis

Ungurean

Burileanu

Dervis

2009

Int J Speech Technol

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Automatic rule-based syllabication for Romanian

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Oancea

Munteanu

2009

2009 Proceedings of the 5-Th Conference on Speech Technology and Human-Computer Dialogue

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The syllable is a speech synthesis unit that is successfully used in high quality speech synthesis systems. In support of a syllable based speech synthesis system, we consider necessary the realization of an algorithm for automatic syllabication. In this paper we present an algorithm for automatic syllabication. The algorithm starts by making the phonetic transcription of the word using a previously developed method which employs a set of phonetic rules represented through a XML scheme. Then it applies a set of rules for syllabication. The system obtained a 10.5% word error rate for syllabication and 4.79% word error rate for phonetic transcription using rules.

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An advanced NLP framework for high-quality Text-to-Speech synthesis

Ungurean

Burileanu

2011

2011 6th Conference on Speech Technology and Human-Computer Dialogue (SpeD)

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Cited by 6 publications

References 4 publications

A statistical approach to lexical stress assignment for TTS synthesis

A statistical approach to lexical stress assignment for TTS synthesis

Automatic rule-based syllabication for Romanian

An advanced NLP framework for high-quality Text-to-Speech synthesis

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