Automated Production of True-Cased Punctuated Subtitles for Weather and News Broadcasts

Joris Driesen; Alexandra Birch; Simon Grimsey; Saeid Safarfashandi; Juliet Gauthier; Matt Simpson; Steve Renals

Automated Production of True-Cased Punctuated Subtitles for Weather and News Broadcasts

Joris Driesen, Alexandra Birch, Simon Grimsey, Saeid Safarfashandi, Juliet Gauthier, Matt Simpson, Steve Renals

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

Abstract

Providing subtitling for multimedia content is a highly costly process. Any system aimed at automating at least part of this process may therefore yield significant economic benefits for content providers. In this paper, we present an integrated automatic system capable of automatically subtitling weather forecasts and news broadcasts. In this system, a number of different modules are stringed together, each performing a single processing step in the pipeline. An ASR (Automatic Speech Recognition) module first converts raw audio into an uninterrupted stream of written words. A decision tree classifier then marks sentence boundaries in the resulting word sequence. Finally, a SMT (Statistical Machine Translation) module `translates' the resulting sentences into punctuated true-cased text. The system has been developed in close cooperation with Red Bee Media and will be deployed in their commercial production pipeline.

Original language	English
Title of host publication	INTERSPEECH 2014 15th Annual Conference of the International Speech Communication Association
Publisher	International Speech Communication Association
Pages	2146-2147
Number of pages	2
Publication status	Published - 2014

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i14_2146Final published version, 206 KB

http://www.isca-speech.org/archive/interspeech_2014/i14_2146.html

EU-Bridge
Renals, S. (Principal Investigator), King, S. (Co-investigator), Koehn, P. (Co-investigator) & Osborne, M. (Co-investigator)
EU government bodies
1/02/12 → 31/01/15
Project: Research

Cite this

Driesen, J., Birch, A., Grimsey, S., Safarfashandi, S., Gauthier, J., Simpson, M., & Renals, S. (2014). Automated Production of True-Cased Punctuated Subtitles for Weather and News Broadcasts. In INTERSPEECH 2014 15th Annual Conference of the International Speech Communication Association (pp. 2146-2147). International Speech Communication Association. http://www.isca-speech.org/archive/interspeech_2014/i14_2146.html

@inproceedings{3c87dbdccc5d4f24900e726a68101d43,

title = "Automated Production of True-Cased Punctuated Subtitles for Weather and News Broadcasts",

abstract = "Providing subtitling for multimedia content is a highly costly process. Any system aimed at automating at least part of this process may therefore yield significant economic benefits for content providers. In this paper, we present an integrated automatic system capable of automatically subtitling weather forecasts and news broadcasts. In this system, a number of different modules are stringed together, each performing a single processing step in the pipeline. An ASR (Automatic Speech Recognition) module first converts raw audio into an uninterrupted stream of written words. A decision tree classifier then marks sentence boundaries in the resulting word sequence. Finally, a SMT (Statistical Machine Translation) module `translates' the resulting sentences into punctuated true-cased text. The system has been developed in close cooperation with Red Bee Media and will be deployed in their commercial production pipeline. ",

author = "Joris Driesen and Alexandra Birch and Simon Grimsey and Saeid Safarfashandi and Juliet Gauthier and Matt Simpson and Steve Renals",

year = "2014",

language = "English",

pages = "2146--2147",

booktitle = "INTERSPEECH 2014 15th Annual Conference of the International Speech Communication Association",

publisher = "International Speech Communication Association",

}

Driesen, J, Birch, A, Grimsey, S, Safarfashandi, S, Gauthier, J, Simpson, M & Renals, S 2014, Automated Production of True-Cased Punctuated Subtitles for Weather and News Broadcasts. in INTERSPEECH 2014 15th Annual Conference of the International Speech Communication Association. International Speech Communication Association, pp. 2146-2147. <http://www.isca-speech.org/archive/interspeech_2014/i14_2146.html>

Automated Production of True-Cased Punctuated Subtitles for Weather and News Broadcasts. / Driesen, Joris; Birch, Alexandra; Grimsey, Simon et al.
INTERSPEECH 2014 15th Annual Conference of the International Speech Communication Association. International Speech Communication Association, 2014. p. 2146-2147.

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

TY - GEN

T1 - Automated Production of True-Cased Punctuated Subtitles for Weather and News Broadcasts

AU - Driesen, Joris

AU - Birch, Alexandra

AU - Grimsey, Simon

AU - Safarfashandi, Saeid

AU - Gauthier, Juliet

AU - Simpson, Matt

AU - Renals, Steve

PY - 2014

Y1 - 2014

N2 - Providing subtitling for multimedia content is a highly costly process. Any system aimed at automating at least part of this process may therefore yield significant economic benefits for content providers. In this paper, we present an integrated automatic system capable of automatically subtitling weather forecasts and news broadcasts. In this system, a number of different modules are stringed together, each performing a single processing step in the pipeline. An ASR (Automatic Speech Recognition) module first converts raw audio into an uninterrupted stream of written words. A decision tree classifier then marks sentence boundaries in the resulting word sequence. Finally, a SMT (Statistical Machine Translation) module `translates' the resulting sentences into punctuated true-cased text. The system has been developed in close cooperation with Red Bee Media and will be deployed in their commercial production pipeline.

AB - Providing subtitling for multimedia content is a highly costly process. Any system aimed at automating at least part of this process may therefore yield significant economic benefits for content providers. In this paper, we present an integrated automatic system capable of automatically subtitling weather forecasts and news broadcasts. In this system, a number of different modules are stringed together, each performing a single processing step in the pipeline. An ASR (Automatic Speech Recognition) module first converts raw audio into an uninterrupted stream of written words. A decision tree classifier then marks sentence boundaries in the resulting word sequence. Finally, a SMT (Statistical Machine Translation) module `translates' the resulting sentences into punctuated true-cased text. The system has been developed in close cooperation with Red Bee Media and will be deployed in their commercial production pipeline.

M3 - Conference contribution

SP - 2146

EP - 2147

BT - INTERSPEECH 2014 15th Annual Conference of the International Speech Communication Association

PB - International Speech Communication Association

ER -

Automated Production of True-Cased Punctuated Subtitles for Weather and News Broadcasts

Abstract

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Cite this