Article

Free access

Influence of speech recognition errors on topic detection (poster session)

Authors:

SIGIR '00: Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval

Pages 342 - 344

https://doi.org/10.1145/345508.345638

Published: 01 July 2000 Publication History

PDF eReader

Abstract

We investigate the effect of speech-recognition errors on a system for the unsupervised, nearly synchronous clustering of broadcast news stories, using the TDT (Topic Detection and Tracking) Corpora. Two questions are addressed: (1) Are speech recognition errors detrimental to the performance of the system? (2) Can a background collection of contemporaneous clean text improve performance? We investigate both the large-cluster and small-cluster limits.

References

[1]

J. Allan, J. Carbonell, G. Doddington, J. Yamron, and Y. Yang, "Topic Detection and Tracking Pilot Study Final Report", in Proceedings of the DARPA Broadcast News Transcription and Understanding Workshop. February, 1998.

Google Scholar

[2]

S. Dharanipragada, M. Franz, J.S. McCarley, S. Roukos, and T. Ward, "Story Segmentation and Topic Detection for Recognized Speech", in 6th European Conference On Speech Communication and Technology 1999.

Google Scholar

[3]

S. Dharanipragada, M. Franz, J.S. McCarley, S. Roukos, and T. Ward, "Story Segmentation and Topic Detection in the Broadcast News Domain", in Proceedings of the DARPA Broadcast News Workshop., Feb. 1999.

Google Scholar

[4]

J. Fiscus, G. Doddington, J. Garofolo, A. Martin, "NIST's 1998 Topic Detection and Tracking Evaluation (TDT-2)", in Proceedings of the DARPA Broadcast News Workshop., Feb. 1999.

Google Scholar

[5]

J.S. Garofolo, E.M. Voorhees, C.G.P. Auzanne, V.M. Stanford, B.A. Lund "1998 TREC-7 Spoken Document Retrieval Track Overview and Results", in The 7th Test REtrieval Conference (TREC-7) ed. by E.M. Voorhees and D.K. Harman.

Google Scholar

[6]

A. Singhal, F. Pereira, "Document Expansion for Speech Retrieval", in Proceedings of the 22st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval p.34, 1999.

Digital Library

Google Scholar

[7]

http://www.ldc.upenn.edu/TDT

Google Scholar

[8]

"The Topic Detection and Tracking Phase 3 (TDT- 3) Evaluation Plan", Version 2.7, Aug. 10, 1999, http://www.itl.nist.gov/iaui/894.01/tdt3/tdt 3.htm

Google Scholar

Cited By

View all

Messina ABorgotallo RDimino GGnota DBoch L(2008)ANTSProceedings of the 2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services10.1109/WIAMIS.2008.15(219-222)Online publication date: 7-May-2008
https://dl.acm.org/doi/10.1109/WIAMIS.2008.15
Neo SRan YGoh HZheng YChua TLi JLienhart RPrasad AHanjalic AChoi SBailey BSebe N(2007)The use of topic evolution to help users browse and find answers in news video corpusProceedings of the 15th ACM international conference on Multimedia10.1145/1291233.1291278(198-207)Online publication date: 29-Sep-2007
https://dl.acm.org/doi/10.1145/1291233.1291278
Neo SZheng YChua TTian QNahrstedt KTurk MRui YKlas WMayer-Patel K(2006)News video search with fuzzy event clustering using high-level featuresProceedings of the 14th ACM international conference on Multimedia10.1145/1180639.1180687(169-172)Online publication date: 23-Oct-2006
https://dl.acm.org/doi/10.1145/1180639.1180687
Show More Cited By

Index Terms

Influence of speech recognition errors on topic detection (poster session)
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Speech recognition
2. Information systems
  1. Information retrieval
    1. Document representation

Recommendations

Online Speech Detection and Dual-Gender Speech Recognition for Captioning Broadcast News

This paper describes a new method to detect speech segments online with identifying gender attributes for efficient dual gender-dependent speech recognition and broadcast news captioning. The proposed online speech detection performs dual-gender phoneme ...
Correcting speech recognition errors
Modelling errors in automatic speech recognition for dysarthric speakers
Special issue on analysis and signal processing of oesophageal and pathological voices

Dysarthria is a motor speech disorder characterized by weakness, paralysis, or poor coordination of the muscles responsible for speech. Although automatic speech recognition (ASR) systems have been developed for disordered speech, factors such as low ...

Comments

Information & Contributors

Information

Published In

SIGIR '00: Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval

July 2000

396 pages

ISBN:1581132263

DOI:10.1145/345508

Chairmen:
Emmanuel Yannakoudakis
Athens Univ. of Economics and Business, Greece
,
Nicholas J. Belkin
Rutgers Univ.
,
Mun-Kew Leong
Kent Ridge Digital Labs
,
Peter Ingwersen
Royal School of Library and Information Science

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 July 2000

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Article

Conference

SIGIR00

Sponsor:

Greek Com Soc
SIGIR
Athens U of Econ & Business

SIGIR00: 23rd ACM International SIGIR Conference on Research and Development in Information Retrieval

July 24 - 28, 2000

Athens, Greece

Acceptance Rates

Overall Acceptance Rate 792 of 3,983 submissions, 20%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

7
Total Citations
View Citations
51
Total Downloads

Downloads (Last 12 months)21
Downloads (Last 6 weeks)3

Reflects downloads up to 23 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Messina ABorgotallo RDimino GGnota DBoch L(2008)ANTSProceedings of the 2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services10.1109/WIAMIS.2008.15(219-222)Online publication date: 7-May-2008
https://dl.acm.org/doi/10.1109/WIAMIS.2008.15
Neo SRan YGoh HZheng YChua TLi JLienhart RPrasad AHanjalic AChoi SBailey BSebe N(2007)The use of topic evolution to help users browse and find answers in news video corpusProceedings of the 15th ACM international conference on Multimedia10.1145/1291233.1291278(198-207)Online publication date: 29-Sep-2007
https://dl.acm.org/doi/10.1145/1291233.1291278
Neo SZheng YChua TTian QNahrstedt KTurk MRui YKlas WMayer-Patel K(2006)News video search with fuzzy event clustering using high-level featuresProceedings of the 14th ACM international conference on Multimedia10.1145/1180639.1180687(169-172)Online publication date: 23-Oct-2006
https://dl.acm.org/doi/10.1145/1180639.1180687
Byrne WDoermann DFranz MGustman SHajic JOard DPicheny MPsutka JRamabhadran BSoergel DWard TZhu W(2004)Automatic Recognition of Spontaneous Speech for Access to Multilingual Oral History ArchivesIEEE Transactions on Speech and Audio Processing10.1109/TSA.2004.82870212:4(420-435)Online publication date: Jul-2004
https://doi.org/10.1109/TSA.2004.828702
Oard DDemner-Fushman DHajic JRamabhadran BGustman SByrne WSoergel DDorr BResnik PPicheny M(2002)Cross-Language Access to Recorded Speech in the MALACH ProjectProceedings of the 5th International Conference on Text, Speech and Dialogue10.5555/647240.718642(57-64)Online publication date: 9-Sep-2002
https://dl.acm.org/doi/10.5555/647240.718642
Oard DDemner-Fushman DHajič JRamabhadran BGustman SByrne WSoergel DDorr BResnik PPicheny M(2002)Cross-Language Access to Recorded Speech in the MALACH ProjectText, Speech and Dialogue10.1007/3-540-46154-X_8(57-64)Online publication date: 23-Aug-2002
https://doi.org/10.1007/3-540-46154-X_8
Wayne CWong KLee DLee J(2000)Topic detection and tracking in English and ChineseProceedings of the fifth international workshop on on Information retrieval with Asian languages10.1145/355214.355238(165-172)Online publication date: 1-Nov-2000
https://dl.acm.org/doi/10.1145/355214.355238

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Online Speech Detection and Dual-Gender Speech Recognition for Captioning Broadcast News

Correcting speech recognition errors

Modelling errors in automatic speech recognition for dysarthric speakers