Speech quality assessment based on virtual instrumentation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10241636" target="_blank" >RIV/61989100:27240/18:10241636 - isvavai.cz</a>
Result on the web
<a href="https://www.researchgate.net/publication/325750217_Speech_Quality_Assessment_Based_on_Virtual_Instrumentation" target="_blank" >https://www.researchgate.net/publication/325750217_Speech_Quality_Assessment_Based_on_Virtual_Instrumentation</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3177457.3177459" target="_blank" >10.1145/3177457.3177459</a>
Alternative languages
Result language
angličtina
Original language name
Speech quality assessment based on virtual instrumentation
Original language description
This paper introduces a program for objective and subjective evaluation of speech quality. Using this environment, a lot of speech recordings and various indoor and outdoor noises were processed. As a subjective speech evaluation method, the Dynamic time warping (DTW) method was selected, with PARCOR coefficients being chosen as symptom vectors. For the filtration of the noise in the recording, adaptive filtering based on LMS and RLS algorithms was used and the performance of the adaptive filtering was assessed. Similarity ranged from 70% to 95% for both algorithms. In terms of signal to noise ratio, the RLS algorithm ranged from 36 dB to 42 dB, while the LMS algorithm only varied from 20 dB to 29 dB. (C) 2018 Association for Computing Machinery.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ACM International Conference Proceeding Series 2018
ISBN
978-1-4503-6339-6
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
49-56
Publisher name
Association for Computing Machinery
Place of publication
New York
Event location
Sydney
Event date
Jan 8, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000457928800010