Perfomance Evaluation and Analysis of Different

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    PERFOMANCE EVALUATION OF

    DIFFERENT

    SPEECH CODER

    Prepared By:Milan Rathod

    Pragnesh Patel

    Darpan Patel

    Vicky Patel

    Guided By:Vijayendra Desai

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    Introduction

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    SPEECH MODEL AND CODING

    Origin of Speech Signal

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    SPEECH MODEL AND CODING

    CLASSIFICATION OF SPEECH SIGNALS

    MODELLING THE SPEECH PRODUCTION

    SYSTEM

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    SPEECH MODEL AND CODING

    OVERVIEW OF SPEECH CODING

    Properties of Speech Coder

    Applications of Speech Coders

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    DIAGRAM OF A SPEECH CODER

    Properties of Speech Coder

    Applications of Speech Coders

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    Classification of speech coders

    Classification by Coding Techniques

    Category Bit Rate Range

    High bit-rate >15 Kbps

    Medium bit-rate 5 to 10 Kbps

    Low bit-rate 2 to 5 Kbps

    Very bit-rate

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    EVALUATION METHOD

    Subjective quality measurement

    1. ACR test

    2. DCR test Objective quality measurement

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    ACR METHODS OF SUBJECTIVE

    QUALITY MEASURMENT

    How it performed?

    ACR RATING

    CATEGORY RATING

    5 EXCELLENT

    4 GOOD

    3 FAIR

    2 POOR

    1 BAD

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    DCR METHODS OF SUBJECTIVE

    QUALITY MEASURMENT

    How it performed?

    DCR RATING

    CATEGORY RATING

    5 Inaudible

    4 Audible but not annoying

    3 Slightly annoying

    2Annoying

    1 Very annoying

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    The background noise alone using a five-point

    scale of background intrusiveness (BAK)

    Rating Description

    5 Not noticeable

    4 Somewhat noticeable

    3 Not intrusive

    2 Somewhat intrusive

    1 Very intrusive

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    The overall quality using the scale of the mean

    opinion score (MOS)

    Rating Description

    5 Excellent

    4 Good

    3 Fair

    2 Poor

    1 Bad

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    OBJECTIVE MEASURES

    correlation coefficient

    PESQ

    LPC-Based Objective Measures

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    Time-Domain and Frequency-Weighted SNRMeasures

    WSS Measures

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    COMPOSITE MEASURES

    Combining basic objective measure

    Multiple linear regression analysis and MARS

    analysis SIG,BAK,OVRL

    Correlate Highly with subjective rating

    Subset measures

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    RESULT

    Original

    speech

    Compressed

    speech

    Overall

    quality

    Signal

    distortion

    Back ground

    distortion

    CELP-10200.wav 3.9147 4.6669 3.8185

    CELP-7950.wav 3.7527 3.0620 4.5204

    Doormono.wave

    CELP-5900.wav 3.5535 3.0683 4.5083

    CELP-4700.wav 3.6258 4.3641 3.3879

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    RESULT FOR SUBJECTIVE ANALYSIS

    SPEECH AMOS DMOS

    Ninandvoice_2.73kbps.wav 3.64 3.35

    Ninandvoice_2.3kbps.wav 3.64 3.21

    Ninandvoice_2.15kbps.wav 3.50 3.14

    Ninandvoice_2.05kbps.wav 3.21 3.07

    Ninandvoice_1.8kbps.wav 3.07 2.64

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    Conclusion

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    Thank you..