Analysis and automatic recognition of compressed speech

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00230135" target="_blank" >RIV/68407700:21230/15:00230135 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Analysis and automatic recognition of compressed speech

Popis výsledku v původním jazyce

The deployment of automatic speech recognition (ASR) systems into real-life are often met with difficulties of diverse acoustic conditions. This diversity is what forces the necessity to build the systems as robust to ensure their reliable performance regardless of the conditions. The usage of MP3 compression represents one of such conditions, when the property of lossy encoding degrades the quality of extracted features and therefore the recognition. The research of optimized settings for MP3 recognition has been conducted by various authors and different solutions have been proposed. This work presents the analysis of optimized setup which was focused on blocks of feature extraction and acoustic modeling. The work summarizes the effects of methods proposed the author and other authors, all tested to determine the potential contribution of each method separately as well as in unison. The main goal of the optimization was to find the proper segmentation, determine the importance of fea

Název v anglickém jazyce

Analysis and automatic recognition of compressed speech

Popis výsledku anglicky

The deployment of automatic speech recognition (ASR) systems into real-life are often met with difficulties of diverse acoustic conditions. This diversity is what forces the necessity to build the systems as robust to ensure their reliable performance regardless of the conditions. The usage of MP3 compression represents one of such conditions, when the property of lossy encoding degrades the quality of extracted features and therefore the recognition. The research of optimized settings for MP3 recognition has been conducted by various authors and different solutions have been proposed. This work presents the analysis of optimized setup which was focused on blocks of feature extraction and acoustic modeling. The work summarizes the effects of methods proposed the author and other authors, all tested to determine the potential contribution of each method separately as well as in unison. The main goal of the optimization was to find the proper segmentation, determine the importance of fea

Druh

C - Kapitola v odborné knize

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Tackling the Complexity in Speech

ISBN

978-80-7308-558-2

Počet stran výsledku

17

Strana od-do

205-221

Počet stran knihy

230

Název nakladatele

Filozofická fakulta Univerzity Karlovy v Praze

Místo vydání

Praha

Kód UT WoS kapitoly

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