Utilizing MFCC for Voice Intensity Determination

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F10%3APU88290" target="_blank" >RIV/00216305:26220/10:PU88290 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Utilizing MFCC for Voice Intensity Determination

Original language description

This paper aims to classify speech signals according to their intensities into 3 groups (silent speech, normal speech and very loud speech). In this work, we have used a number of speech recordings, which were stored in a WAV format. These recordings aredivided into groups with three different intensities, with each of them at three different distances from the point of entry (microphone). Mel Frequency Cepstral Coefficients and k-Nearest Neighbor classifier based algorithm was tested and implemented in Matlab environment. The intensity classification accuracy achieved was about 85%.

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

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2010

Confidentiality

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

Name of the periodical

Electronics

ISSN

1313-1842

e-ISSN

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Volume of the periodical

4

Issue of the periodical within the volume

2

Country of publishing house

BG - BULGARIA

Number of pages

3

Pages from-to

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UT code for WoS article

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EID of the result in the Scopus database

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