@inproceedings{akiba-etal-2008-test,
title = "Test Collections for Spoken Document Retrieval from Lecture Audio Data",
author = "Akiba, Tomoyosi and
Aikawa, Kiyoaki and
Itoh, Yoshiaki and
Kawahara, Tatsuya and
Nanjo, Hiroaki and
Nishizaki, Hiromitsu and
Yasuda, Norihito and
Yamashita, Yoichi and
Itou, Katunobu",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Maegaard, Bente and
Mariani, Joseph and
Odijk, Jan and
Piperidis, Stelios and
Tapias, Daniel",
booktitle = "Proceedings of the Sixth International Conference on Language Resources and Evaluation ({LREC}'08)",
month = may,
year = "2008",
address = "Marrakech, Morocco",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2008/pdf/400_paper.pdf",
abstract = "The Spoken Document Processing Working Group, which is part of the special interest group of spoken language processing of the Information Processing Society of Japan, is developing a test collection for evaluation of spoken document retrieval systems. A prototype of the test collection consists of a set of textual queries, relevant segment lists, and transcriptions by an automatic speech recognition system, allowing retrieval from the Corpus of Spontaneous Japanese (CSJ). From about 100 initial queries, application of the criteria that a query should have more than five relevant segments that consist of about one minute speech segments yielded 39 queries. Targeting the test collection, an ad hoc retrieval experiment was also conducted to assess the baseline retrieval performance by applying a standard method for spoken document retrieval.",
}
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<abstract>The Spoken Document Processing Working Group, which is part of the special interest group of spoken language processing of the Information Processing Society of Japan, is developing a test collection for evaluation of spoken document retrieval systems. A prototype of the test collection consists of a set of textual queries, relevant segment lists, and transcriptions by an automatic speech recognition system, allowing retrieval from the Corpus of Spontaneous Japanese (CSJ). From about 100 initial queries, application of the criteria that a query should have more than five relevant segments that consist of about one minute speech segments yielded 39 queries. Targeting the test collection, an ad hoc retrieval experiment was also conducted to assess the baseline retrieval performance by applying a standard method for spoken document retrieval.</abstract>
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%0 Conference Proceedings
%T Test Collections for Spoken Document Retrieval from Lecture Audio Data
%A Akiba, Tomoyosi
%A Aikawa, Kiyoaki
%A Itoh, Yoshiaki
%A Kawahara, Tatsuya
%A Nanjo, Hiroaki
%A Nishizaki, Hiromitsu
%A Yasuda, Norihito
%A Yamashita, Yoichi
%A Itou, Katunobu
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Piperidis, Stelios
%Y Tapias, Daniel
%S Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC’08)
%D 2008
%8 May
%I European Language Resources Association (ELRA)
%C Marrakech, Morocco
%F akiba-etal-2008-test
%X The Spoken Document Processing Working Group, which is part of the special interest group of spoken language processing of the Information Processing Society of Japan, is developing a test collection for evaluation of spoken document retrieval systems. A prototype of the test collection consists of a set of textual queries, relevant segment lists, and transcriptions by an automatic speech recognition system, allowing retrieval from the Corpus of Spontaneous Japanese (CSJ). From about 100 initial queries, application of the criteria that a query should have more than five relevant segments that consist of about one minute speech segments yielded 39 queries. Targeting the test collection, an ad hoc retrieval experiment was also conducted to assess the baseline retrieval performance by applying a standard method for spoken document retrieval.
%U http://www.lrec-conf.org/proceedings/lrec2008/pdf/400_paper.pdf
Markdown (Informal)
[Test Collections for Spoken Document Retrieval from Lecture Audio Data](http://www.lrec-conf.org/proceedings/lrec2008/pdf/400_paper.pdf) (Akiba et al., LREC 2008)
ACL
- Tomoyosi Akiba, Kiyoaki Aikawa, Yoshiaki Itoh, Tatsuya Kawahara, Hiroaki Nanjo, Hiromitsu Nishizaki, Norihito Yasuda, Yoichi Yamashita, and Katunobu Itou. 2008. Test Collections for Spoken Document Retrieval from Lecture Audio Data. In Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08), Marrakech, Morocco. European Language Resources Association (ELRA).