Advanced Acoustic Modelling Techniques in MP3 Speech Recognition

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00230829" target="_blank" >RIV/68407700:21230/15:00230829 - isvavai.cz</a>

Result on the web

<a href="http://asmp.eurasipjournals.com/content/2015/1/20" target="_blank" >http://asmp.eurasipjournals.com/content/2015/1/20</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1186/s13636-015-0064-7" target="_blank" >10.1186/s13636-015-0064-7</a>

Result language

angličtina

Original language name

Advanced Acoustic Modelling Techniques in MP3 Speech Recognition

Original language description

The automatic recognition of MP3 compressed speech presents a challenge to the current systems due to the lossy nature of compression which causes irreversible degradation of the speech wave. This article evaluates the performance of a recognition systemoptimized for MP3 compressed speech with current state-of-the-art acoustic modelling techniques and one specific front-end compensation method. The article concentrates on acoustic model adaptation, discriminative training and additional dithering as aprominent means of compensating for the described distortion in the task of phoneme and large vocabulary continuous speech recognition (LVCSR). The experiments presented on the phoneme task show a dramatic increase of the recognition error for unvoiced speech units as a direct result of compression. The application of acoustic model adaptation has proved to yield the highest relative contribution while the gain of discriminative training diminished with decreasing bit-rate. The applicati

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JA - Electronics and optoelectronics

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2015

Confidentiality

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

Name of the periodical

EURASIP Journal on Audio Speech and Music Processing

ISSN

1687-4722

e-ISSN

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Volume of the periodical

2015:20

Issue of the periodical within the volume

July

Country of publishing house

CH - SWITZERLAND

Number of pages

7

Pages from-to

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UT code for WoS article

000358610600001

EID of the result in the Scopus database

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