Retrieving radio news broadcasts in Danish: accuracy and categorization of unrecognized words

Morten Hertzum; Haakon Lund; Rasmus Troelsgård

doi:10.1145/3010915.3010972

Retrieving radio news broadcasts in Danish: accuracy and categorization of unrecognized words

Morten Hertzum, Haakon Lund, Rasmus Troelsgård

Department of Communication

Abstract

Digital archives of radio news broadcasts can possibly be made searchable by combining speech recognition with information retrieval. We explore this possibility for the retrieval of news broadcasts in Danish. An average of 84% of the words in the broadcasts was recognized. Most of the unrecognized words were compounds, names, and other words that appear of value to retrieval. Thus, the set of words describing a broadcast has to be expanded to compensate for the recognition errors. We discuss doing this by exploiting the alternative matches from the speech recognizer and by extracting words from a related corpus

Original language	English
Title of host publication	OzCHI'16 : The 28th Australian Conference on Compute-Human Interaction
Number of pages	5
Place of Publication	New York
Publisher	ACM
Publication date	29 Nov 2016
Pages	160-164
ISBN (Electronic)	978-1-4503-4618-4
DOIs	https://doi.org/10.1145/3010915.3010972
Publication status	Published - 29 Nov 2016
Event	Australian Conference on Human-Computer Interaction - Launceston, Australia Duration: 29 Nov 2016 → 2 Dec 2016 Conference number: 28 http://www.ozchi.org/2016/index.html

Conference

Conference	Australian Conference on Human-Computer Interaction
Number	28
Location	Launceston
Country/Territory	Australia
Period	29/11/2016 → 02/12/2016
Internet address	http://www.ozchi.org/2016/index.html

Access to Document

10.1145/3010915.3010972

Australian Conference on Human-Computer Interaction
Haakon Lund (Speaker)
30 Nov 2016
Activity: Participating in or organising an event types › Participation in workshop, seminar, course

Cite this

Retrieving radio news broadcasts in Danish : accuracy and categorization of unrecognized words. / Hertzum, Morten; Lund, Haakon; Troelsgård, Rasmus.

OzCHI'16: The 28th Australian Conference on Compute-Human Interaction. New York : ACM, 2016. p. 160-164.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

@inproceedings{d51a1daf83f7498aa5bb34e2dd2443c6,

title = "Retrieving radio news broadcasts in Danish: accuracy and categorization of unrecognized words",

abstract = "Digital archives of radio news broadcasts can possibly be made searchable by combining speech recognition with information retrieval. We explore this possibility for the retrieval of news broadcasts in Danish. An average of 84% of the words in the broadcasts was recognized. Most of the unrecognized words were compounds, names, and other words that appear of value to retrieval. Thus, the set of words describing a broadcast has to be expanded to compensate for the recognition errors. We discuss doing this by exploiting the alternative matches from the speech recognizer and by extracting words from a related corpus",

author = "Morten Hertzum and Haakon Lund and Rasmus Troelsg{\aa}rd",

year = "2016",

month = nov,

day = "29",

doi = "10.1145/3010915.3010972",

language = "English",

pages = "160--164",

booktitle = "OzCHI'16",

publisher = "ACM",

note = "Australian Conference on Human-Computer Interaction , OzCHI 2016 ; Conference date: 29-11-2016 Through 02-12-2016",

url = "http://www.ozchi.org/2016/index.html",

}

TY - GEN

T1 - Retrieving radio news broadcasts in Danish

T2 - Australian Conference on Human-Computer Interaction

AU - Hertzum, Morten

AU - Lund, Haakon

AU - Troelsgård, Rasmus

N1 - Conference code: 28

PY - 2016/11/29

Y1 - 2016/11/29

N2 - Digital archives of radio news broadcasts can possibly be made searchable by combining speech recognition with information retrieval. We explore this possibility for the retrieval of news broadcasts in Danish. An average of 84% of the words in the broadcasts was recognized. Most of the unrecognized words were compounds, names, and other words that appear of value to retrieval. Thus, the set of words describing a broadcast has to be expanded to compensate for the recognition errors. We discuss doing this by exploiting the alternative matches from the speech recognizer and by extracting words from a related corpus

AB - Digital archives of radio news broadcasts can possibly be made searchable by combining speech recognition with information retrieval. We explore this possibility for the retrieval of news broadcasts in Danish. An average of 84% of the words in the broadcasts was recognized. Most of the unrecognized words were compounds, names, and other words that appear of value to retrieval. Thus, the set of words describing a broadcast has to be expanded to compensate for the recognition errors. We discuss doing this by exploiting the alternative matches from the speech recognizer and by extracting words from a related corpus

U2 - 10.1145/3010915.3010972

DO - 10.1145/3010915.3010972

M3 - Article in proceedings

SP - 160

EP - 164

BT - OzCHI'16

PB - ACM

CY - New York

Y2 - 29 November 2016 through 2 December 2016

ER -

Retrieving radio news broadcasts in Danish: accuracy and categorization of unrecognized words

Abstract

Conference

Access to Document

Fingerprint

Activities

Australian Conference on Human-Computer Interaction

Cite this