Prosody Modeling from Tone to Intonation in Chinese using a Functional F0 Model

Ni, Jinfu; Sakai, Shinsuke; Shimizu, T.; Nakamura, Satoshi

doi:10.1109/isuc.2008.37

Cited by 2 publications

(1 citation statement)

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“…Extensive research has been done on modeling tone in East-Asian languages, such as Chinese (Wang et al 1996;Lee et al 2002;Li et al 2004;Ni et al 2008). Recently, studies have begun to address tone modeling for languages spoken in Africa, such as Yoruba, a language of Nigeria (Ȯ dejobi et al 2006;Dtunji et al 2007;Odejobi et al 2008).…”

Section: Motivation For the Research Studymentioning

confidence: 99%

Improving a tone labeling algorithm for Sesotho

Raborife

Ewert

Zerbian

2014

Lang Resources & Evaluation

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We report on a study that aimed to improve an existing tone label prediction algorithm for Sesotho, an official language of South Africa. Tone is an important prosodic feature of Sesotho, since speakers use tone to distinguish meaning. In order to implement tone in a Text-to-Speech system for Sesotho, a tone modeling algorithm must receive as input the tone labels of the syllables of each word. Then it can predict the appropriate intonation of the word. Since Sesotho does not mark tone labels in orthography, the labels have to be predicted according to the tonal rules of the language. The existing tone label prediction algorithm has two drawbacks, namely it implements three tonal rules only and is restricted to the clitic phrase domain. In our study, we developed an algorithm that implements four additional tonal rules and addresses all parts of speech. The results show that the latter algorithm significantly improves the existing one by increasing the number of matched tone labels.

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Section: Motivation For the Research Studymentioning

confidence: 99%