Frame Header Based Speech Quality Analysis Method in a Circuit-Switched Media Gateway

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Frame Header Based Speech Quality Analysis Method in a Circuit-Switched Media Gateway

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in a Circuit-Switched Media Gateway Master s Thesis Presentation 18.10.2005 Author: Mika V is nen Supervisor: Prof. Raimo Kantola Instructor: Ph.D. Peter Jungner –

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Title: Frame Header Based Speech Quality Analysis Method in a Circuit-Switched Media Gateway


1
Frame Header Based Speech Quality Analysis
Methodin a Circuit-Switched Media Gateway
  • Masters Thesis Presentation 18.10.2005

Author Mika VäisänenSupervisor Prof. Raimo
KantolaInstructor Ph.D. Peter Jungner
2
Contents
  • Introduction
  • Circuit-Switched Media Gateway
  • Speech Coding
  • Iu and Nb User Plane Protocols
  • Speech Quality Measurement
  • Estimation Method development
  • Analysis of the Method
  • Conclusions

3
Introduction
  • Background
  • On UMTS networks coded speech is transported in
    frames
  • On ideal situation only the used speech coding
    method degrades the speech quality of a call
  • In practise, frames are damaged on air-interface
    and lost on core network congestion
  • Problem
  • Operator may not know, how customers are
    perceiving the quality of the network
  • Operator will lose customers, if speech quality
    in the network drops
  • Operator must be able to monitor the speech
    quality in the network in real time
  • Objectives
  • To develop a method that can estimate speech
    quality of calls in UMTS Core Network by
    analysing only the speech frame headers

4
Circuit-Switched Media Gateway (CS-MGW)
  • Adapts different Access Networks to the Core
    Network
  • Main functions
  • Media conversion (ATM, IP, TDM)
  • Bearer control (Resource reservation)
  • Payload processing (Transcoding, echo cancelling,
    )

5
Speech Coding
  • Adaptive Multi-Rate (AMR) coding used in UTRAN
  • Variable bit-rate modes from 4.75 to 12.2 kbps
  • Source Controlled Rate of operation
  • During silence only Silence Descriptor (SID)
    frames are sent with low bit-rate
  • Uses efficient error concealment
  • Lost or damaged frames are faded away
  • Frame substitution and muting
  • AMR end-to-end Transcoder Free Operation (TrFO)
  • Pulse Code Modulation (PCM) possibly used in CN
  • Compressed, 64 kbps
  • No error concealment
  • AMR-PCM-AMR Coder tandeming, transcoding

6
Iu and Nb User Plane Protocols
  • Speech is carried in User Plane frames
  • 1 AMR frame in each Iu/Nb frame
  • 40 PCM samples in each Nb frame
  • Besides speech the Iu/Nb frames contain
    information
  • Frame numbering to detect lost frames
  • Frame Quality Classification (FQC)
  • Information of the frame type (AMR bit-rate,
    SPEECH/SID)
  • Transcoding in Tandem call cases re-creates the
    frame stream
  • All information regarding quality in the frame
    headers is lost

7
Speech Quality Measurement
  • Listening tests
  • Absolute Category Rating (ACR), scale 1-5
  • Mean Opinion Score (MOS)
  • Objective methods
  • Emulate listening tests
  • Speech signal based
  • Resource consuming
  • Perceptual Evaluation of Speech Quality (PESQ)
  • PESQ score, ranging from -0.5 to 4.5.
  • Correlation against listening tests 0.935.
  • Parameter based
  • Light, but not as accurate
  • ITU E-Model
  • PsyVoIP, VQMon

8
Estimation Method Development
  • Establish a model between frame loss/damage and
    speech quality
  • Frame losses and damages in simulated environment
  • Lost SID frames ignored, because they are 100
    times less important than speech frames
  • Speech quality analysis with PESQ
  • Find out a way to determine types of lost frames
  • In PCM case simple, as all frames can be
    considered equal.
  • In AMR case SID frames complicate the
    determination
  • Create a method implementation to be run in
    CS-MGW

9
Analysis of the Method
  • AMR TrFO case (AMR 12.2 kbps all the way)
  • Correlation of 0.90 was established between the
    method and real PESQ scores
  • Mean estimation error 0.14 PESQ-MOS units

10
Analysis of the Method
  • Tandem case (AMR 12.2 - PCM AMR 12.2)
  • Correlation of 0.83 was established between the
    method and real PESQ scores
  • Mean estimation error 0.19 PESQ-MOS units

11
Conclusions
  • The method proven to be surprisingly accurate,
    despite its simple implementation
  • PESQ-MOS differences lt 0.5 are barely audible
  • Being able to determine the frame content
    (silence/speech) helps to improve the estimation
  • Ideal solution for operators using a leased RAN
  • In addition to price, also speech quality can be
    used to compare alternative networks

12
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