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Volumn , Issue , 2005, Pages 117-121

Important and New Features with Analysis for Disfluency Interruption Point (IP) Detection in Spontaneous Mandarin Speech

Author keywords

[No Author keywords available]

Indexed keywords

CONTINUOUS SPEECH RECOGNITION; FEATURE EXTRACTION; LINGUISTICS;

EID: 85123721100     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (17)
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    • Liu, Y.1    Shriberg, E.2    Stolcke, A.3
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    • Using Machine Learning to Cope with Imbalanced Classes in Natural Speech: Evidence From Sentence Boundary and Disfluency Detection
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    • Liu, Y.1    Shriberg, E.2    Stolcke, A.3    Harper, M.4
  • 7
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    • Improved Spontaneous Mandarin Speech Recognition by Disfluency Interruption Point (IP) Detection Using Prosodic Features
    • (to appear)
    • Lin, C.-K. & Lee, L.-S. Improved Spontaneous Mandarin Speech Recognition by Disfluency Interruption Point (IP) Detection Using Prosodic Features. Proc. Eurospeech’05. (to appear).
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  • 10
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    • Shriberg, E., et al. 2000. Prosody-based Automatic Segmentation of Speech into Sentences and Topics. Speech Communication, pp. 127-154, 2000.
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    • Tian, J. & Nurminen, J. 2004. On Analysis of Eigenpitch in Mandarin Chinese. Proc. ISCSLP’04.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.