Small and Large Vocabulary Speech Recognition of MP3 Data under Real-Word Conditions: Experimental Study

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00200338" target="_blank" >RIV/68407700:21230/12:00200338 - isvavai.cz</a>

Výsledek na webu

<a href="http://link.springer.com/chapter/10.1007/978-3-642-35755-8_29#" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-642-35755-8_29#</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-642-35755-8_29" target="_blank" >10.1007/978-3-642-35755-8_29</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Small and Large Vocabulary Speech Recognition of MP3 Data under Real-Word Conditions: Experimental Study

Popis výsledku v původním jazyce

This paper presents the study of speech recognition accuracy both for small and large vocabulary task with respect to different levels of MP3 compression of processed data. The motivation behind the work was to evaluate the usage of ASR system for off-line automatic transcription of recordings collected from standard present MP3 devices under different levels of background noise and channel distortion. Although MP3 may not be an optimal compression algorithm, the performed experiments have prooved thatit does not distort speech signal significantly for higher compression rates. Realized experiments showed also that the accuracy of speech recognition (both small- and large-vocabulary) decreased very slowly for the bit-rate of 24 kbps and higher. However, slightly different setup of speech feature computation is necessary for MP3 speech data, mainly PLP features give significantly better results in comparison to MFCC.

Název v anglickém jazyce

Small and Large Vocabulary Speech Recognition of MP3 Data under Real-Word Conditions: Experimental Study

Popis výsledku anglicky

This paper presents the study of speech recognition accuracy both for small and large vocabulary task with respect to different levels of MP3 compression of processed data. The motivation behind the work was to evaluate the usage of ASR system for off-line automatic transcription of recordings collected from standard present MP3 devices under different levels of background noise and channel distortion. Although MP3 may not be an optimal compression algorithm, the performed experiments have prooved thatit does not distort speech signal significantly for higher compression rates. Realized experiments showed also that the accuracy of speech recognition (both small- and large-vocabulary) decreased very slowly for the bit-rate of 24 kbps and higher. However, slightly different setup of speech feature computation is necessary for MP3 speech data, mainly PLP features give significantly better results in comparison to MFCC.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

<a href="/cs/project/GA102%2F08%2F0707" target="_blank" >GA102/08/0707: Rozpoznávání mluvené řeči v reálných podmínkách</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název periodika

Communications in Computer and Information Science

ISSN

1865-0929

e-ISSN

—

Svazek periodika

314

Číslo periodika v rámci svazku

—

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

11

Strana od-do

409-419

Kód UT WoS článku

000315973800029

EID výsledku v databázi Scopus

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