Using rule-induction techniques to model pronunciation variation in Dutch

Hoste, VÃ©ronique; Daelemans, Walter; Gillis, Steven

doi:10.1016/s0885-2308(03)00027-5

Cited by 9 publications

(2 citation statements)

References 18 publications

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“…As a consequence, these rules are especially interesting for pronunciation variation modeling for ASR systems. However, to our knowledge, only '[n]-deletion after schwa' has so far been applied for these purposes (e.g., Hoste et al, 2004;Van Bael, 2007).…”

Section: General Discussion and Conclusionmentioning

confidence: 99%

Acoustic reduction in conversational Dutch: A quantitative analysis based on automatically generated segmental transcriptions

Schuppler

Ernestus

Scharenborg

et al. 2011

Journal of Phonetics

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In spontaneous, conversational speech, words are often reduced compared to their citation forms, such that a word like yesterday may sound like ['jESeI]. The present paper investigates such acoustic reduction . The study of reduction needs large corpora that are transcribed phonetically. The first part of this paper describes an automatic transcription procedure used to obtain such a large phonetically transcribed corpus of Dutch spontaneous dialogues, which is subsequently used for the investigation of acoustic reduction. First, the orthographic transcription were adapted for automatic processing. Next, the phonetic transcription of the corpus was created by means of a forced alignment with a lexicon with multiple pronunciation variants per word. These variants were generated by applying phonological and reduction rules to the canonical phonetic transcriptions of the words. The second part of this paper reports the results of a quantitative analysis of reduction in the corpus on the basis of the generated transcriptions and gives an inventory of segmental reductions in standard Dutch. Overall, we found that reduction is more pervasive in spontaneous Dutch than previously documented.

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Section: General Discussion and Conclusionmentioning

confidence: 99%

Acoustic reduction in conversational Dutch: A quantitative analysis based on automatically generated segmental transcriptions

Schuppler

Ernestus

Scharenborg

et al. 2011

Journal of Phonetics

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“…How to get the pronunciation variations is the most important problem. We can study it in two ways: knowledge-based [6] and data-driven [7].…”

Section: Multi-pronunciation Dictionarymentioning

confidence: 99%

Mandarin Speech Recognition For Nonnative Speakers Based on Pronunciation Dictionary Adaption

Yang,

Wu,

2008

Int. Symp. On Chinese Spoken Language Processing

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Various techniques, such as acoustic model adaptation and pronunciation adaptation, have been reported to improve the recognition of nonnative or accented speech. In this paper, we propose to analyze the regular pairs of the pronunciation variation of the nonnative Mandarin speech spoken by Dai, Lisu and Naxi speakers from Yunnan. According typical pronunciation variations of these 3 accents, the more than one pronunciation for a part of words (i.e. tonal syllables or characters) have been inserted in the standard Mandarin pronunciation dictionary. The experiments show that an improvement is reached with the new dictionary and a simple 2-gram language model for all kinds of nonnative speakers.

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Morpheme-Based Modeling of Pronunciation Variation for Large Vocabulary Continuous Speech Recognition in Korean

Lee¹,

Chung²

2007

IEICE Transactions on Information and Systems

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Using rule-induction techniques to model pronunciation variation in Dutch

Cited by 9 publications

References 18 publications

Acoustic reduction in conversational Dutch: A quantitative analysis based on automatically generated segmental transcriptions

Acoustic reduction in conversational Dutch: A quantitative analysis based on automatically generated segmental transcriptions

Mandarin Speech Recognition For Nonnative Speakers Based on Pronunciation Dictionary Adaption

Morpheme-Based Modeling of Pronunciation Variation for Large Vocabulary Continuous Speech Recognition in Korean

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