Autors: Tsenov, A. K., Garabitov A. St.
Title: Using Neural Networks to Evaluate the Intelligibility of the Speech in Voice over Internet Protocol
Keywords: speach; VoIP; intelligibility; neural network.

Abstract: An important and unresolved problem is the automatic quantification of voice quality. Many parameters affect the voice quality, but only subjective assessments are crucial. The article makes a proposal to create a solution for the prediction of subjective voice quality assessment. A neural network is used to evaluate the quality of Voice over IP (VoIP) solutions. Computational models of similarity, Musical Instrument Digital Interface (MIDI) analysis and Speech Processing Tools are used to assess intelligibility. Statistics techniques and algorithms are used for building neural networks. The end result is an analysis and an automated hypothesis about sound quality in the Mean Opinion Score (MOS) scale.

References

    Issue

    InfoSys 2018 & BioSciencesWorld 2018, vol. ICAS 2018 The Fourteenth International Conference on Autonomic and Autonomous Systems, pp. 52-55, 2018, France, ISBN 978-1-61208-634-7

    Full text of the publication

    Вид: публикация в международен форум