Multiple pronunciation dictionary using HMM-state confusion characteristics

Wakita, Yumi; Singer, Harald; Sagisaka, Yoshinori

doi:10.1006/csla.1998.0116

Cited by 4 publications

(2 citation statements)

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“…Wakita, Singer and Sagisaka (1999) also use empirically observed HMM state sequences to infer alternate word pronunciations at the granularity of HMM states instead of phonemes. The method presented in this paper shares this characteristic of these two methods: modeling pronunciation change at the level of a HMM state.…”

Section: Related Workmentioning

confidence: 99%

Pronunciation modeling by sharing Gaussian densities across phonetic models

Saraçlar

Nock

Khudanpur

2000

Computer Speech & Language

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Section: Related Workmentioning

confidence: 99%

Pronunciation modeling by sharing Gaussian densities across phonetic models

Saraçlar

Nock

Khudanpur

2000

Computer Speech & Language

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“…The error rate for the conversational data was more than 50% higher than for the read version. This variability can at least partly be captured by the incorporation of several pronunciation variants for each word in the recognition lexicon in conjunction with their prior probabilities and with statistics about the conditions under which these are likely to occur (e.g., Wakita, Singer, & Sagisaka, 1999;Wester, 2002).…”

Section: Introductionmentioning

confidence: 99%

How linguistic and probabilistic properties of a word affect the realization of its final /t/: Studies at the phonemic and sub-phonemic level

Schuppler

Dommelen

Koreman

et al. 2012

Journal of Phonetics

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This paper investigates the realization of word-final /t/ in conversational standard Dutch. First, based on a large number of word tokens (6747) annotated with broad phonetic transcription by an automatic transcription tool, we show that morphological properties of the words and their position in the utterance's syntactic structure play a role for the presence versus absence of their final /t/. We also replicate earlier findings on the role of predictability (word frequency and bigram frequency with the following word) and provide a detailed analysis of the role of segmental context. Second, we analyze the detailed acoustic properties of word-final /t/ on the basis of a smaller number of tokens (486) which were annotated manually. Our data show that word and bigram frequency as well as segmental context also predict the presence of sub-phonemic properties. The investigations presented in this paper extend research on the realization of /t/ in spontaneous speech and have potential consequences for psycholinguistic models of speech production and perception as well as for automatic speech recognition systems

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