Impact of Microphone on Computer Applications with Voice Input Modality

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F13%3A%230002800" target="_blank" >RIV/46747885:24220/13:#0002800 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/TSP.2013.6613976" target="_blank" >http://dx.doi.org/10.1109/TSP.2013.6613976</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TSP.2013.6613976" target="_blank" >10.1109/TSP.2013.6613976</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Impact of Microphone on Computer Applications with Voice Input Modality

Popis výsledku v původním jazyce

In the paper we investigate the impact of different microphones on computer applications that employ voice input, like applications and tools developed for motor-handicapped persons. In order to make their comparison objective, test utterances were recorded always via a pair of microphones, a reference one and a test one. Using this setup, sixty half-minute-long recordings were acquired from 6 persons and via 6 different microphones. These were used in speech recognition tests that revealed quite largeand surprisingly inconsistent impact of the microphones. To compensate the variability between them we examined several techniques for channel and speaker adaptation. With the best one (known as Constricted Maximum Likelihood Linear Regression) we achieved an average absolute improvement of 2.7 % in a voice dictation task.

Název v anglickém jazyce

Impact of Microphone on Computer Applications with Voice Input Modality

Popis výsledku anglicky

In the paper we investigate the impact of different microphones on computer applications that employ voice input, like applications and tools developed for motor-handicapped persons. In order to make their comparison objective, test utterances were recorded always via a pair of microphones, a reference one and a test one. Using this setup, sixty half-minute-long recordings were acquired from 6 persons and via 6 different microphones. These were used in speech recognition tests that revealed quite largeand surprisingly inconsistent impact of the microphones. To compensate the variability between them we examined several techniques for channel and speaker adaptation. With the best one (known as Constricted Maximum Likelihood Linear Regression) we achieved an average absolute improvement of 2.7 % in a voice dictation task.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

<a href="/cs/project/GPP103%2F11%2FP499" target="_blank" >GPP103/11/P499: Metody adaptace na mluvčího v systémech rozpoznávání řeči</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proc. of 36th International Conference on Telecommunications and Signal Processing (TSP 2013)

ISBN

9781479904044

ISSN

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e-ISSN

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Počet stran výsledku

5

Strana od-do

469-473

Název nakladatele

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Místo vydání

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Místo konání akce

Itálie

Datum konání akce

1. 1. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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