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REPORT

ON

JITTER ESTIMATION IN VOICE

Submitted to Dept. of EECE

M.Tech Degree Programme

2013-2015

Of

ITM University, Gurgaon

by

Figure2.3: Example ofa moderatelydysphonic voice classified as Type3 signal

dels of jitter can be used . The first one correspond to that jitter is just a simple variation of

period, which can be found by subtracting each period of the pitch sequence to its neighbour or

combinations of its neighbours. This technique usually provides a single measurement for the

whole signal.

Jitta=

|(n ) (n)|k (2)


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Here Q(n) is the sequence of pitch periods lengths measured in microseconds. For the study

purpose this method is used for calculating jitter. However accepting of other models also

becomes necessary as for the study of severe pathological patients.

The second model can be defined as we assume a pulse like signal, it can be expressed as

s(n)= (n k)k + (n (k ))k (3)

In this model, is the average period and is a value that expresses the displacement of every

other period, in a cyclic perturbation, occurring in every second impulse. The value of can

range from 0 showing no jitter, to P which is defined as the average period length. It is seen that,

for a good comparison of the outcome, if we apply the first model to this second approach, the

estimated jitter value is Jitta = ,where it is assumed that is the half difference of the

subtraction of two periods.[14]

As for the case of a professional singer maintains a fixed fundamental frequency therefore the

above two model represents voice as a signal that has fixed fundamental. So it depends on the

speaker widely that how he could maintain his pitch so that he can be use this model.Now a third

model which is designed to consider the fluctuations of F0can be used which use representing

the changes in period length, alternately which is expressed as;

Q0(n) = Q0+(n-)p+(-1)n (4)

where Q0is the glottal period, prepresents constant variation in the period length, represents

jitter value.

P+ P- P- P+

0Amplitude

0 P+2P 3P-


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Chapter 4. Results

Serial No. Voice(10s-15s) Pratt Matlab

1 Normal Recorded1 0.775 0.801

2Normal Recorded2 0.828 0.963

3NormalRecorded3 0.643 0.753

4 MUNrainbow2 1.022 1.314

5 FMTpateint 2.358 1.981

6 FADNloud 1.825 1.823

7 10mixedsd 1.643 1.5491

8 Frespsd 1.869 1.9581

9 FAB AFTERDVCAN 2.02 1.884

10 FABNCan 2.019 2.26

11 FADNCPafterVoiceTherapy 1.0121 1.28

12 FADNhighpitchv 2.726 2.701

13 MADLOUD 1.05 1.23

14 FADNhighpitchv 2.726 2.701

15 FABductorSDmild 1.87 1.9399

Table:4 Results comparing Pratt and Matlab

First Alphabet: F or M (Female or male)

Second and Third Letters: (AD, AB, MTD, or U)

AD = Adductor Type

AB= Abductor Type

MT= Muscle Tension Dysphonia

UN= Undiagnosed

Fifth and following alphabet: nickname of your choice.


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Appendices

Appendix A: Jitter Estimation in Voice

Paper summarizes jitter parameters and its estimation in a voice signal submitted in STM

journals and accepted under Current Trends in Signal and Processing.


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