Assessment and Prediction of Speech Quality in Telecommunications

Assessment and Prediction of Speech Quality in Telecommunications
Author :
Publisher : Springer Science & Business Media
Total Pages : 253
Release :
ISBN-10 : 9781475731170
ISBN-13 : 1475731175
Rating : 4/5 (175 Downloads)

Book Synopsis Assessment and Prediction of Speech Quality in Telecommunications by : Sebastian Möller

Download or read book Assessment and Prediction of Speech Quality in Telecommunications written by Sebastian Möller and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: The quality of a telecommunication voice service is largely inftuenced by the quality of the transmission system. Nevertheless, the analysis, synthesis and prediction of quality should take into account its multidimensional aspects. Quality can be regarded as a point where the perceived characteristics and the desired or expected ones meet. A schematic is presented which classifies different entities which contribute to the quality of a service, taking into account conversational, user as weIl as service related contributions. Starting from this concept, perceptively relevant constituents of speech communication quality are identified. The perceptive factors result from ele ments of the transmission configuration. A simulation model is developed and implemented which allows the most relevant parameters of traditional trans mission configurations to be manipulated, in real time and for the conversation situation. Inputs into the simulation are instrumentally measurable quality elements commonly used in transmission planning of telephone networks. A reduced set of these quality elements forms a basis for models which aim at predicting mouth-to-ear quality as it would be perceived by a user of the sys tem. These models are an important tool for the planner of telecommunication networks, as they allow the expected quality to be estimated in advance, even before the network has been set up. Two well-known models (the SUBMOD and the E-model) are analyzed in more detail, with an emphasis on the psy choacoustic and psychophysical backgrounds.


Assessment and Prediction of Speech Quality in Telecommunications Related Books

Assessment and Prediction of Speech Quality in Telecommunications
Language: en
Pages: 253
Authors: Sebastian Möller
Categories: Science
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

The quality of a telecommunication voice service is largely inftuenced by the quality of the transmission system. Nevertheless, the analysis, synthesis and pred
Speech Quality of VoIP
Language: en
Pages: 336
Authors: Alexander Raake
Categories: Technology & Engineering
Type: BOOK - Published: 2007-01-11 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Finally a comprehensive overview of speech quality in VoIP from the user's perspective! Speech Quality of VoIP is an essential guide to assessing the speech qua
Human Information Processing in Speech Quality Assessment
Language: en
Pages: 169
Authors: Stefan Uhrig
Categories: Technology & Engineering
Type: BOOK - Published: 2021-06-03 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book provides a new multi-method, process-oriented approach towards speech quality assessment, which allows readers to examine the influence of speech tran
Integral and Diagnostic Intrusive Prediction of Speech Quality
Language: en
Pages: 255
Authors: Nicolas Côté
Categories: Technology & Engineering
Type: BOOK - Published: 2011-05-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This work deals with the instrumental measurement methods for the perceived quality of transmitted speech. These measures simulate the speech perception process
Deep Learning Based Speech Quality Prediction
Language: en
Pages: 171
Authors: Gabriel Mittag
Categories: Technology & Engineering
Type: BOOK - Published: 2022-02-24 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book presents how to apply recent machine learning (deep learning) methods for the task of speech quality prediction. The author shows how recent advanceme