Annotation of Heterogeneous Multimedia Content Using Automatic Speech Recognition

M.A.H. Huijbregts; Roeland J.F. Ordelman; Franciska M.G. de Jong

doi:10.1007/978-3-540-77051-0_8

Annotation of Heterogeneous Multimedia Content Using Automatic Speech Recognition

M.A.H. Huijbregts, Roeland J.F. Ordelman, Franciska M.G. de Jong

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

52 Citations (Scopus)

98 Downloads (Pure)

Abstract

This paper reports on the setup and evaluation of robust speech recognition system parts, geared towards transcript generation for heterogeneous, real-life media collections. The system is deployed for generating speech transcripts for the NIST/TRECVID-2007 test collection, part of a Dutch real-life archive of news-related genres. Performance figures for this type of content are compared to figures for broadcast news test data.

Original language	Undefined
Title of host publication	Proceedings of the Second International Conference on Semantic and Digital Media Technologies, SAMT 2007
Place of Publication	Berlin
Publisher	Springer
Pages	78-90
Number of pages	13
ISBN (Print)	978-3-540-77033-6
DOIs	https://doi.org/10.1007/978-3-540-77051-0_8
Publication status	Published - Dec 2007
Event	Second International Conference on Semantic and Digital Media Technologies, SAMT 2007 - Genoa, Italy Duration: 5 Dec 2007 → 7 Dec 2007

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer Verlag
Number	07CH37910C
Volume	4816
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Second International Conference on Semantic and Digital Media Technologies, SAMT 2007
Period	5/12/07 → 7/12/07
Other	5-7 December 2007

Keywords

HMI-SLT: Speech and Language Technology
HMI-MR: MULTIMEDIA RETRIEVAL
EC Grant Agreement nr.: FP6/027685
METIS-245906
EWI-11664
IR-62090
EC Grant Agreement nr.: FP6/027413

Access to Document

10.1007/978-3-540-77051-0_8

samt2007_submUT_asr
open
samt2007_submUT_asr
open

Cite this

Huijbregts, M. A. H., Ordelman, R. J. F., & de Jong, F. M. G. (2007). Annotation of Heterogeneous Multimedia Content Using Automatic Speech Recognition. In Proceedings of the Second International Conference on Semantic and Digital Media Technologies, SAMT 2007 (pp. 78-90). [10.1007/978-3-540-77051-0_8] (Lecture Notes in Computer Science; Vol. 4816, No. 07CH37910C). Springer. https://doi.org/10.1007/978-3-540-77051-0_8

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title = "Annotation of Heterogeneous Multimedia Content Using Automatic Speech Recognition",

abstract = "This paper reports on the setup and evaluation of robust speech recognition system parts, geared towards transcript generation for heterogeneous, real-life media collections. The system is deployed for generating speech transcripts for the NIST/TRECVID-2007 test collection, part of a Dutch real-life archive of news-related genres. Performance figures for this type of content are compared to figures for broadcast news test data.",

keywords = "HMI-SLT: Speech and Language Technology, HMI-MR: MULTIMEDIA RETRIEVAL, EC Grant Agreement nr.: FP6/027685, METIS-245906, EWI-11664, IR-62090, EC Grant Agreement nr.: FP6/027413",

author = "M.A.H. Huijbregts and Ordelman, {Roeland J.F.} and {de Jong}, {Franciska M.G.}",

note = "10.1007/978-3-540-77051-0_8 ; null ; Conference date: 05-12-2007 Through 07-12-2007",

year = "2007",

month = dec,

doi = "10.1007/978-3-540-77051-0_8",

language = "Undefined",

isbn = "978-3-540-77033-6",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

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Huijbregts, MAH, Ordelman, RJF & de Jong, FMG 2007, Annotation of Heterogeneous Multimedia Content Using Automatic Speech Recognition. in Proceedings of the Second International Conference on Semantic and Digital Media Technologies, SAMT 2007., 10.1007/978-3-540-77051-0_8, Lecture Notes in Computer Science, no. 07CH37910C, vol. 4816, Springer, Berlin, pp. 78-90, Second International Conference on Semantic and Digital Media Technologies, SAMT 2007, 5/12/07. https://doi.org/10.1007/978-3-540-77051-0_8

Annotation of Heterogeneous Multimedia Content Using Automatic Speech Recognition. / Huijbregts, M.A.H.; Ordelman, Roeland J.F.; de Jong, Franciska M.G.

Proceedings of the Second International Conference on Semantic and Digital Media Technologies, SAMT 2007. Berlin : Springer, 2007. p. 78-90 10.1007/978-3-540-77051-0_8 (Lecture Notes in Computer Science; Vol. 4816, No. 07CH37910C).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - This paper reports on the setup and evaluation of robust speech recognition system parts, geared towards transcript generation for heterogeneous, real-life media collections. The system is deployed for generating speech transcripts for the NIST/TRECVID-2007 test collection, part of a Dutch real-life archive of news-related genres. Performance figures for this type of content are compared to figures for broadcast news test data.

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KW - IR-62090

KW - EC Grant Agreement nr.: FP6/027413

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Huijbregts MAH, Ordelman RJF , de Jong FMG. Annotation of Heterogeneous Multimedia Content Using Automatic Speech Recognition. In Proceedings of the Second International Conference on Semantic and Digital Media Technologies, SAMT 2007. Berlin: Springer. 2007. p. 78-90. 10.1007/978-3-540-77051-0_8. (Lecture Notes in Computer Science; 07CH37910C). https://doi.org/10.1007/978-3-540-77051-0_8