Entry Wu:2011:IPD from talip.bib

Last update: Sun Oct 15 02:55:04 MDT 2017                Valid HTML 3.2!

Index sections

Top | Symbols | Numbers | Math | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z

BibTeX entry

@Article{Wu:2011:IPD,
  author =       "Chung-Hsien Wu and Wei-Bin Liang and Jui-Feng Yeh",
  title =        "Interruption Point Detection of Spontaneous Speech
                 Using Inter-Syllable Boundary-Based Prosodic Features",
  journal =      j-TALIP,
  volume =       "10",
  number =       "1",
  pages =        "6:1--6:??",
  month =        mar,
  year =         "2011",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/1929908.1929914",
  ISSN =         "1530-0226 (print), 1558-3430 (electronic)",
  ISSN-L =       "1530-0226",
  bibdate =      "Wed Mar 16 18:07:50 MDT 2011",
  bibsource =    "http://portal.acm.org/;
                 http://www.math.utah.edu/pub/tex/bib/talip.bib",
  abstract =     "This article presents a probabilistic scheme for
                 detecting the interruption point (IP) in spontaneous
                 speech based on inter-syllable boundary-based prosodic
                 features. Because of the high error rate in spontaneous
                 speech recognition, a combined acoustic model
                 considering both syllable and subsyllable recognition
                 units, is firstly used to determine the inter-syllable
                 boundaries and output the recognition confidence of the
                 input speech. Based on the finding that IPs always
                 occur at inter-syllable boundaries, a probability
                 distribution of the prosodic features at the current
                 potential IP is estimated. The Conditional Random Field
                 (CRF) model, which employs the clustered prosodic
                 features of the current potential IP and its preceding
                 and succeeding inter-syllable boundaries, is employed
                 to output the IP likelihood measure.",
  acknowledgement = ack-nhfb,
  articleno =    "6",
  fjournal =     "ACM Transactions on Asian Language Information
                 Processing",
  journal-URL =  "http://portal.acm.org/browse_dl.cfm?&idx=J820",
}

Related entries