Non-intrusive speech quality prediction in VoIP networks using a neural network approach

Mousa Al-Akhras; H. Zedan; Robert John; Iman Almomani

doi:10.1016/j.neucom.2008.10.019

ScienceGate Book Chapters

JOURNAL ARTICLE

Non-intrusive speech quality prediction in VoIP networks using a neural network approach

Mousa Al-Akhras H. Zedan Robert John Iman Almomani

Year: 2008 Journal: Neurocomputing Vol: 72 (10-12)Pages: 2595-2608 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2008.10.019

Get Full-Text PDF Get Analytical Report

Keywords:

Voice over IP Computer science Codec Artificial neural network Quality (philosophy) The Internet Quality of service Telecommunications Speech recognition Computer network Machine learning World Wide Web

Metrics

Cited By

3.35

FWCI (Field Weighted Citation Impact)

Refs

0.93

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Speech and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Multimedia Communication and Technology

Social Sciences → Social Sciences → Sociology and Political Science

Advanced Data Compression Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Non-intrusive speech quality prediction in VoIP networks using a neural network approach

Metrics

Citation History

Topics

Related Documents

NIML: non‐intrusive machine learning‐based speech quality prediction on VoIP networks

Non-intrusive Speech Quality Assessment Using Neural Networks

Comparing neural network architectures for non-intrusive speech quality prediction

Comparing Neural Network Architectures for Non-Intrusive Speech Quality Prediction

Non-intrusive speech quality assessment in VoIP