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SLP-P5: Spoken Term Detection and Spoken Document Retrieval

Session Type: Poster

Time: Friday, May 31, 08:00 - 10:00

Location: Poster Area E

Session Chair: Michiel Bacchiani, Google Inc.

SLP-P5.1: INTERACTIVE SPOKEN CONTENT RETRIEVAL BY EXTENDED QUERY MODEL AND CONTINUOUS STATE SPACE MARKOV DECISION PROCESS

Tsung-Hsien Wen; National Taiwan University

Hung-Yi Lee; National Taiwan University

Pei-Hao Su; National Taiwan University

Lin-Shan Lee; National Taiwan University

SLP-P5.2: SPEED IMPROVEMENTS TO INFORMATION RETRIEVAL-BASED DYNAMIC TIME WARPING USING HIERARCHICAL K-MEANS CLUSTERING

Gautam Mantena; International Institute of Information Technology - Hyderbad

Xavier Anguera; Telefonica Research

SLP-P5.3: GRAPH INDEX BASED QUERY-BY-EXAMPLE SEARCH ON A LARGE SPEECH DATA SET

Kazuo Aoyama; Nippon Telegraph and Telephone Corporation

Atsunori Ogawa; Nippon Telegraph and Telephone Corporation

Takashi Hattori; Nippon Telegraph and Telephone Corporation

Takaaki Hori; Nippon Telegraph and Telephone Corporation

Atsushi Nakamura; Nippon Telegraph and Telephone Corporation

SLP-P5.4: A TIGHTER LOWER BOUND ESTIMATE FOR DYNAMIC TIME WARPING

Peng Yang; Northwestern Polytechnical University

Lei Xie; Northwestern Polytechnical University

Qiao Luan; Northwestern Polytechnical University

Wei Feng; Tianjin University

SLP-P5.5: WEIGHTED MATRIX FACTORIZATION FOR SPOKEN DOCUMENT RETRIEVAL

Kuan-Yu Chen; Academia Sinica

Hsin-Min Wang; Academia Sinica

Berlin Chen; National Taiwan Normal University

Hsin-Hsi Chen; National Taiwan University

SLP-P5.6: EFFECTIVE PSEUDO-RELEVANCE FEEDBACK FOR SPOKEN DOCUMENT RETRIEVAL

Yi-Wen Chen; National Taiwan Normal University

Kuan-Yu Chen; Academia Sinica

Hsin-Min Wang; Academia Sinica

Berlin Chen; National Taiwan Normal University

SLP-P5.7: MULTIPLE INDEX COMBINATION FOR JAPANESE SPOKEN TERM DETECTION WITH OPTIMUM INDEX SELECTION BASED ON OOV-REGION CLASSIFIER

Naoyuki Kanda; Kyoto University

Katsutoshi Itoyama; Kyoto University

Hiroshi G. Okuno; Kyoto University

SLP-P5.8: USING PARALLEL TOKENIZERS WITH DTW MATRIX COMBINATION FOR LOW-RESOURCE SPOKEN TERM DETECTION

Haipeng Wang; The Chinese University of Hong Kong

Tan Lee; The Chinese University of Hong Kong

Cheung-Chi Leung; Agency for Science, Technology and Research

Bin Ma; Agency for Science, Technology and Research

Haizhou Li; Agency for Science, Technology and Research

SLP-P5.9: TOWARD UNSUPERVISED MODEL-BASED SPOKEN TERM DETECTION WITH SPOKEN QUERIES WITHOUT ANNOTATED DATA

Chun-an Chan; National Taiwan University

Cheng-Tao Chung; National Taiwan University

Yu-Hsin Kuo; National Taiwan University

Lin-shan Lee; National Taiwan University

SLP-P5.10: ZERO RESOURCE SPOKEN AUDIO CORPUS ANALYSIS

David Harwath; Massachusetts Institute of Technology

Timothy Hazen; Massachusetts Institute of Technology, Lincoln Laboratory

James Glass; Massachusetts Institute of Technology

SLP-P5.11: QUANTIFYING THE VALUE OF PRONUNCIATION LEXICONS FOR KEYWORD SEARCH IN LOW RESOURCE LANGUAGES

Guoguo Chen; Johns Hopkins University

Sanjeev Khudanpur; Johns Hopkins University

Daniel Povey; Johns Hopkins University

Jan Trmal; Johns Hopkins University

David Yarowsky; Johns Hopkins University

Oguz Yilmaz; Johns Hopkins University

SLP-P5.12: A CONFIDENCE-BASED APPROACH FOR IMPROVING KEYWORD HYPOTHESIS SCORES

Matthew Seigel; University of Cambridge

Philip C. Woodland; University of Cambridge

Mark J.F. Gales; University of Cambridge

SLP-P5.13: CASE BASED REASONING SOLUTION TO THE PROBLEM OF SUSTAINED LEARNING IN KEYWORD SPOTTING

Tieran Zheng; Harbin Institute of Technology

Jiqing Han; Harbin Institute of Technology

Guibin Zheng; Harbin Institute of Technology

Shiwen Deng; Harbin Institute of Technology