A Benchmark of Non-intrusive Parametric Audio Quality Estimation Models for Broadcasting Systems and Web-casting Applications

A Benchmark of Non-intrusive Parametric Audio Quality Estimation Models for Broadcasting Systems and Web-casting Applications

Due to the rising usage of various broadcasting systems and web-casting applications, a measurement of audio quality has become an essential task. This paper presents a benchmark of the parametric models for non-intrusive estimation of the audio quality perceived by the end user. The proposed soluti...

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Bibliographic Details
Main Authors: Martin Jakubik, Peter Pocta
Format: Article
Language:English
Published: VSB-Technical University of Ostrava 2021-01-01
Series:Advances in Electrical and Electronic Engineering
Subjects:
artificial neural networks
audio quality estimation
broadcast
machine learning
statistical significance
support vector regression
web-cast.
Online Access:http://advances.utc.sk/index.php/AEEE/article/view/4207

Internet

http://advances.utc.sk/index.php/AEEE/article/view/4207

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