A system for automatic broadcast news summarisation, geolocation and translation

Peter Bell; Catherine Lai; Clare Llewellyn; Alexandra Birch; Mark Sinclair

A system for automatic broadcast news summarisation, geolocation and translation

Peter Bell, Catherine Lai, Clare Llewellyn, Alexandra Birch, Mark Sinclair

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

An increasing amount of news content is produced in audiovideo form every day. To effectively analyse and monitoring this multilingual data stream, we require methods to extract and present audio content in accessible ways. In this paper, we describe an end-to-end system for processing and browsing audio
news data. This fully automated system brings together our recent research on audio scene analysis, speech recognition, summarisation, named entity detection, geolocation, and machine translation. The graphical interface allows users to visualise the distribution of news content by entity names and story location. Browsing of news events is facilitated through extractive summaries
and the ability to view transcripts in multiple languages. Index Terms: multimedia archives, ASR, summarisation, named entity detection, geolocation, machine translation.

Original language	English
Title of host publication	INTERSPEECH 2015 16th Annual Conference of the International Speech Communication Association
Pages	730-731
Number of pages	2
Publication status	Published - Sept 2015

Access to Document

is2015-gvox-demoAccepted author manuscript, 524 KB

http://www.isca-speech.org/archive/interspeech_2015/i15_0730.html

EU-Bridge
Renals, S., King, S., Koehn, P. & Osborne, M.
EU government bodies
1/02/12 → 31/01/15
Project: Research
inEVENT
Renals, S.
EU government bodies
1/11/11 → 31/10/14
Project: Research
Natural Speech Technology
Renals, S. & King, S.
EPSRC
1/05/11 → 31/07/16
Project: Research

Cite this

@inproceedings{72017bb729da441e989552a849f29de9,

title = "A system for automatic broadcast news summarisation, geolocation and translation",

abstract = "An increasing amount of news content is produced in audiovideo form every day. To effectively analyse and monitoring this multilingual data stream, we require methods to extract and present audio content in accessible ways. In this paper, we describe an end-to-end system for processing and browsing audionews data. This fully automated system brings together our recent research on audio scene analysis, speech recognition, summarisation, named entity detection, geolocation, and machine translation. The graphical interface allows users to visualise the distribution of news content by entity names and story location. Browsing of news events is facilitated through extractive summariesand the ability to view transcripts in multiple languages. Index Terms: multimedia archives, ASR, summarisation, named entity detection, geolocation, machine translation.",

author = "Peter Bell and Catherine Lai and Clare Llewellyn and Alexandra Birch and Mark Sinclair",

year = "2015",

month = sep,

language = "English",

pages = "730--731",

booktitle = "INTERSPEECH 2015 16th Annual Conference of the International Speech Communication Association",

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T1 - A system for automatic broadcast news summarisation, geolocation and translation

AU - Bell, Peter

AU - Lai, Catherine

AU - Llewellyn, Clare

AU - Birch, Alexandra

AU - Sinclair, Mark

PY - 2015/9

Y1 - 2015/9

N2 - An increasing amount of news content is produced in audiovideo form every day. To effectively analyse and monitoring this multilingual data stream, we require methods to extract and present audio content in accessible ways. In this paper, we describe an end-to-end system for processing and browsing audionews data. This fully automated system brings together our recent research on audio scene analysis, speech recognition, summarisation, named entity detection, geolocation, and machine translation. The graphical interface allows users to visualise the distribution of news content by entity names and story location. Browsing of news events is facilitated through extractive summariesand the ability to view transcripts in multiple languages. Index Terms: multimedia archives, ASR, summarisation, named entity detection, geolocation, machine translation.

AB - An increasing amount of news content is produced in audiovideo form every day. To effectively analyse and monitoring this multilingual data stream, we require methods to extract and present audio content in accessible ways. In this paper, we describe an end-to-end system for processing and browsing audionews data. This fully automated system brings together our recent research on audio scene analysis, speech recognition, summarisation, named entity detection, geolocation, and machine translation. The graphical interface allows users to visualise the distribution of news content by entity names and story location. Browsing of news events is facilitated through extractive summariesand the ability to view transcripts in multiple languages. Index Terms: multimedia archives, ASR, summarisation, named entity detection, geolocation, machine translation.

M3 - Conference contribution

SP - 730

EP - 731

BT - INTERSPEECH 2015 16th Annual Conference of the International Speech Communication Association

ER -

A system for automatic broadcast news summarisation, geolocation and translation

Abstract / Description of output

Access to Document

Fingerprint

Projects

EU-Bridge

inEVENT

Natural Speech Technology

Cite this