Phone Speech Detection and Recognition in the Task of Historical Radio Broadcast Transcription
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F14%3A%230003001" target="_blank" >RIV/46747885:24220/14:#0003001 - 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
Phone Speech Detection and Recognition in the Task of Historical Radio Broadcast Transcription
Original language description
This paper deals with methods and strategies for the improvement of a system for the automatic transcription of the historical Czech Radio audio archive. The main goal of this work was to improve the recognition of audio signals containing phone speech where the resulting recognition rate was relatively low because of frequency-limited phone signals. A phone signal detector based on GMM was developed and implemented to our speech transcription system. Several different acoustic models were experimentally tested for the enhancement of phone speech signal recognition.We demonstrate that phone speech recognition is improved significantly if acoustic models based on HMM are trained directly on phone speech signals. Other possible and logical strategies, which are described in this paper, did not produce the required improvement. The resulting accuracy of phone speech signal recognition has been increased from 47.32% to 68.30%.
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/DF11P01OVV013" target="_blank" >DF11P01OVV013: Disclosure of the Czech Radio archive for sophisticated search</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proc. of Telecommunications and Signal Processing (TSP) conference
ISBN
978-80-214-4983-1
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
433-436
Publisher name
IEEE
Place of publication
Berlín, Spolková republika Německo
Event location
Berlín, Spolková republika Německo
Event date
Jan 1, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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