• Title/Summary/Keyword: Momel

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An Analysis on Korean Intonation Patterns Using Momel (Momel을 이용한 한국어의 억양 패턴 분석)

  • Kim, Sun-Hee;Yoo, Hyun-Ji
    • Proceedings of the KSPS conference
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    • 2007.05a
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    • pp.243-246
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    • 2007
  • This paper aims to propose an intonation labeling method using Momel and to present results of analyzing a speech corpus consisting of 80 passages pronounced by 4 speakers (2 male and 2 female) using the proposed method. The results show that Momel works well enough to derive meaningful pitch targets, which could be labeled with H and L tones. On the other hand, the results of the analysis of Korean speech corpus correspond to earlier work.

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A Study on Korean Intonation Using Momel (Momel을 이용한 한국어의 억양 연구)

  • Kim, Sun-Hee;Yoo, Hyun-Ji;Hong, Hye-Jin;Lee, Ho-Young
    • MALSORI
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    • no.63
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    • pp.85-100
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    • 2007
  • This paper aims to propose how to extract intonation patterns using Momel, a pitch stylization algorithm, and to present results of analyzing speech corpora in comparison with those in earlier researches. Two speech corpora are used: one is the sound files obtained from the K-ToBI web site, and the other consists of 80 passages pronounced by 4 speakers (2 male and 2 female). The results show that Momel provides significant pitch targets which can be labeled as H and L tones within prosodic units such as Accentual Phrase (AP) and Intonation Phrase (IP). The resulting AP patterns and IP boundary tone patterns correspond to those in earlier researches. Thus, this study will contribute to the study of intonation as well as to the development of automatic intonation labeling systems.

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Intonation Patterns of Korean Spontaneous Speech (한국어 자유 발화 음성의 억양 패턴)

  • Kim, Sun-Hee
    • Phonetics and Speech Sciences
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    • v.1 no.4
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    • pp.85-94
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    • 2009
  • This paper investigates the intonation patterns of Korean spontaneous speech through an analysis of four dialogues in the domain of travel planning. The speech corpus, which is a subset of spontaneous speech database recorded and distributed by ETRI, is labeled in APs and IPs based on K-ToBI system using Momel, an intonation stylization algorithm. It was found that unlike in English, a significant number of APs and IPs include hesitation lengthening, which is known to be a disfluency phenomenon due to speech planning. This paper also claims that the hesitation lengthening is different from the IP-final lengthening and that it should be categorized as a new category, as it greatly affects the intonation patterns of the language. Except for the fact that 19.09% of APs show hesitation lengthening, the spontaneous speech shows the same AP patterns as in read speech with higher frequency of falling patterns such as LHL in comparison with read speech which show more LH and LHLH patterns. The IP boundary tones of spontaneous speech, showing the same five patterns such as L%, HL%, LHL%, H%, LH% as in read speech, show higher frequency of rising patterns (H% and LH%) and contour tones (HL%, LH%, LHL%) while read speech on the contrary shows higher frequency of falling patterns and simple tones at the end of IPs.

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