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Automatic Disfluency Identification in Conversational Speech Using Multiple Knowledge Sources (2003)  (Make Corrections)  (3 citations)
Yang Liu, Elizabeth Shriberg, Andreas Stolcke



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Abstract: Disfluencies occur frequently in spontaneous speech. Detection and correction of disfluencies can make automatic speech recognition transcripts more readable for human readers, and can aid downstream processing by machine. This work investigates a number of knowledge sources for disfluency detection, including acoustic-prosodic features, a language model (LM) to account for repetition patterns, a part-of-speech (POS) based LM, and rule-based knowledge. Different components are designed for... (Update)

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Automatic Disfluency Removal On Recognized Spontaneous Speech - - Rapid Adaptation To   (Correct)
Improving Automatic Sentence Boundary Detection.. - Hillard.. (2004)   (Correct)
Direct Modeling of Prosody: An Overview of Applications in.. - Shriberg, Stolcke   (Correct)

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1.5:   Automatic Disfluency Identification in Conversational.. - Liu, Shriberg, Stolcke (2003)   (Correct)
0.7:   Structural Event Detection for Rich Transcription of Speech - Liu (2004)   (Correct)
0.2:   Word Fragment Identification Using Acoustic-Prosodic Features in.. - Liu (2003)   (Correct)

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0.4:   A Prosody-Only Decision-Tree Model For Disfluency Detection - Shriberg, Bates, Stolcke (1997)   (Correct)
0.3:   A Lexically-Driven Algorithm for Disfluency Detection - Snover, Dorr, Schwartz (2004)   (Correct)
0.3:   Statistical Language Modeling For Speech Disfluencies - Stolcke, Shriberg (1996)   (Correct)

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2:   Prosody-based automatic segmentation of speech into sentences and topics (context) - Shriberg, Stolcke et al. - 2000

BibTeX entry:   (Update)

Y. Liu et al. Automatic disfluency identification in conversational speech using multiple knowledge sources. In Proc. EUROSPEECH, pp. 957--960, Geneva, 2003. http://citeseer.ist.psu.edu/article/liu03automatic.html   More

@misc{ liu03automatic,
  author = "Y. Liu",
  title = "Automatic disfluency identification in conversational speech using multiple
    knowledge sources",
  text = "Y. Liu et al. Automatic disfluency identification in conversational speech
    using multiple knowledge sources. In Proc. EUROSPEECH, pp. 957--960, Geneva,
    2003.",
  year = "2003",
  url = "citeseer.ist.psu.edu/article/liu03automatic.html" }
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52   Integrating multiple knowledge sources for detecting and cor.. - Bear, Dowding et al. - 1992
39   Deterministic parsing of syntactic nonfluencies (context) - Hindle - 1983
39   Modeling dynamic prosodic variation for speaker verification - Sonmez, Shriberg et al. - 1998
27   A corpus-based study of repair cues in spontaneous speech - Nakatani, Hirschberg - 1994
26   Dysfluency annotation stylebook for the switchboard corpus (context) - Meteer, Taylor et al. - 1995
22   Statistical language modeling for speech disfluencies - Stolcke, Shriberg - 1996
22   The effect of glottal pulse shape on the quality of natural .. (context) - Rosenberg - 1970
20   The SRI March (context) - Stolcke, Bratt - 2000
19   A prosody-only decisiontree model for disfluency detection - Shriberg, Bates et al. - 1997
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14   Phonetic consequences of speech disfluency - Shriberg - 1999
8   The voice source in connected speech (context) - Fant - 1997
7   Prosody modeling for automatic speech recognition and unders.. - Shriberg, Stolcke - 2002
5   Speech repairs, intonational phrases and discourse markers: .. (context) - Heeman, Allen - 1999
4   Juncture cues to disfluency - Lickley - 1996
3   Word fragment identification using acoustic-prosodic feature.. - Liu - 2003
http://www.ldc.upenn.edu,"

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Rate-Of-Speech Modeling For Large Vocabulary.. - Zheng, Franco, Stolcke (2000)   (Correct)
Improved Modeling and Efficiency for Automatic.. - Sankar, Gadde.. (2000)   (Correct)
The SRI March 2000 Hub-5 Conversational Speech.. - Stolcke, Bratt.. (2000)   (Correct)

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