Phone Speech Detection and Recognition in the Task of Historical Radio Broadcast Transcription

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F15%3A%230003421" target="_blank" >RIV/46747885:24220/15:#0003421 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/TSP.2015.7296399" target="_blank" >http://dx.doi.org/10.1109/TSP.2015.7296399</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TSP.2015.7296399" target="_blank" >10.1109/TSP.2015.7296399</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Phone Speech Detection and Recognition in the Task of Historical Radio Broadcast Transcription

Popis výsledku v původním jazyce

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%.

Název v anglickém jazyce

Phone Speech Detection and Recognition in the Task of Historical Radio Broadcast Transcription

Popis výsledku anglicky

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%.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

38th International Conference on Telecommunications and Signal Processing, TSP 2015

ISBN

978-1-4799-8498-5

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

433-436

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

Praha, Česká Republika

Místo konání akce

Praha

Datum konání akce

1. 1. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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