Data

University of Canberra Broadcast News (UCBN)

Also known as: UCBN
University of Canberra
Dr Chetty (Managed by) Dr Michael Wagner (Associated with, Aggregated by) Girija Chetty (Managed by) Michael Wagner (Associated with, Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft.title=University of Canberra Broadcast News (UCBN)&rft.identifier=canberra.edu.au/Collection/Ducbn001&rft.publisher=University of Canberra&rft.description=The University of Canberra Broadcast News (UCBN) is a dataset containing audio-video recordings of TV broadcast news for research in auditory-visual speech processing and related fields.This dataset was recorded from Digital Video Broadcast live TV broadcast news shows of Australian TV channels, consisting of five recording sessions of 30 subjects over a period of one year, in 2006-07. The recordings comprised audio, video and some teletext data. Audio data were sampled at a 16000 Hz sample rate and stored as 16-bit Pulse-code modulation (PCM) encoded mono waveform audio files. Video files were compressed and stored in MPEG2 Video format. Teletext data includes subtitling text captured simultaneously during recording of the broadcast news. The dataset was originally recorded for the purpose of Dr Girija Chetty's PhD thesis in the area of auditory-visual liveness checking, a subarea of auditory-visual speech processing (AVSP) and biometric identification. The dataset has since been used for various research purposes in the broad areas of AVSP and biometrics.The University of Canberra Broadcast News (UCBN) is a dataset containing audio-video recordings of TV broadcast news for research in auditory-visual speech processing and related fields.&rft.creator=Dr Michael Wagner&rft.creator=Michael Wagner&rft.date=2015&rft.relation=http://trove.nla.gov.au/work/36369770&rft.coverage=159.1054589,-9.2210836 112.9214543,-9.2210836 112.9214543,-54.7772185 159.1054589,-54.7772185 159.1054589,-9.2210836&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft_subject=Image Processing&rft_subject=ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING&rft_subject=Computer Vision&rft_subject=Computer-Human Interaction&rft_subject=INFORMATION SYSTEMS&rft.type=dataset&rft.language=English Access the data

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Contact Information

Street Address:
University of Canberra, ACT 2601
Ph: (02) 6201 2512

Girija.Chetty@canberra.edu.au

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Access:

Restrictions apply view details

Restricted access. Contact Dr Girija Chetty.

Restricted. The copyright for the dataset lies with the University of Canberra


Brief description

The University of Canberra Broadcast News (UCBN) is a dataset containing audio-video recordings of TV broadcast news for research in auditory-visual speech processing and related fields.

Full description

The University of Canberra Broadcast News (UCBN) is a dataset containing audio-video recordings of TV broadcast news for research in auditory-visual speech processing and related fields.This dataset was recorded from Digital Video Broadcast live TV broadcast news shows of Australian TV channels, consisting of five recording sessions of 30 subjects over a period of one year, in 2006-07. The recordings comprised audio, video and some teletext data. Audio data were sampled at a 16000 Hz sample rate and stored as 16-bit Pulse-code modulation (PCM) encoded mono waveform audio files. Video files were compressed and stored in MPEG2 Video format. Teletext data includes subtitling text captured simultaneously during recording of the broadcast news.

The dataset was originally recorded for the purpose of Dr Girija Chetty's PhD thesis in the area of auditory-visual liveness checking, a subarea of auditory-visual speech processing (AVSP) and biometric identification. The dataset has since been used for various research purposes in the broad areas of AVSP and biometrics.

Data time period: 2006 to 2007

This dataset is part of a larger collection

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Related Publications

  • Associated with Investigations in audiovisual speaker identity verification
    eissn : trove.nla.gov.au/work/36369770

    Submitted in fulfilment of the requirements of the degree of Doctor of Philosophy (Information Sciences and Engineering). Thesis (Ph. D.) -- University of Canberra, 2007. Bibliography: p. 304-322.

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159.10546,-9.22108 112.92145,-9.22108 112.92145,-54.77722 159.10546,-54.77722 159.10546,-9.22108

136.0134566,-31.99915105

Subjects
Artificial Intelligence and Image Processing | Computer Vision | Computer-Human Interaction | Information and Computing Sciences | Information Systems | Image Processing |

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Identifiers
  • Local : canberra.edu.au/Collection/Ducbn001
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