Visual Speech Segmentation and Speaker Recognition for Transcription of TV News
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F06%3A%230001343" target="_blank" >RIV/46747885:24220/06:#0001343 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Visual Speech Segmentation and Speaker Recognition for Transcription of TV News
Original language description
This paper is about a method for visual segmentation of TV news. The TV news shows are segmented according to the visual stream from the video TV recordings in this method. Human faces are found in the single visual segments with the help of the fast algorithm for face detection. The found faces are compared with the visual GMMs, that have been trained from the video picture of the single broadcasters (anchors) from the TV news. The single visual segments, where the faces of the broadcasters have been found and recognized, have been compared with the acoustic segments from the acoustic segmentation. The speaker adapted HMMs have been used for speech recognition of these acoustic segments. The recognition rate is better for the use of this speaker-adapted HMMs compared to the use of the speaker independent HMMs.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA102%2F05%2F0278" target="_blank" >GA102/05/0278: New trends in research and application of voice technology</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2006
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
INTERSPEECH 2006 AND 9TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING
ISBN
978-1-60423-449-7
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
ISCA-INST SPEECH COMMUNICATION ASSOC
Place of publication
Pittsburgh, USA
Event location
Pittsburgh, USA
Event date
Jan 1, 2006
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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