BINSEG: An Efficient Speaker-based Segmentation Technique
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F06%3A%230001340" target="_blank" >RIV/46747885:24220/06:#0001340 - 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
BINSEG: An Efficient Speaker-based Segmentation Technique
Original language description
In this paper we present a new efficient approach to speaker-based audio stream segmentation. It employs binary segmentation technique that is well-known from mathematical statistic. Because integral part of this technique is hypotheses testing, we compare two well-founded (Maximum Likelihood, Informational) and one commonly used (BIC difference) approach for deriving speaker-change test statistics. Based on results of this comparison we propose both off-line and on-line speaker change detection algorithms (including way of effective training) that have merits of high accuracy and low computational costs. In simulated tests with artificially mixed data the on-line algorithm identified 95.7% of all speaker changes with precision of 96.9%. In tests donewith 30 hours of real broadcast news (in 9 languages) the average recall was 74.4% and precision 70.3%.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
<a href="/en/project/1QS108040569" target="_blank" >1QS108040569: Assistence, information and communication services based on advanced 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
1990-9772
e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
ISCA-INST SPEECH COMMUNICATION ASSOC, C/O EMMANUELLE FOXONET, 4 RUE DES FAUVETTES, LIEU DIT LOUS TOURILS, BAIXAS, F-66390, FRANCE
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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