analysis of emotional state of a person and (1)

8/18/2019 Analysis of Emotional State of a Person and (1)

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ANALYSIS OF EMOTIONAL STATE OF A

PERSON AND ITS EFFECT ON SPEECH

FEATURES USING PRAAT SOFTWARE

Guided by:Ms. Lani Rachel MathewAsst.ProfessorDepartment of ECEMBCET

Presented by:Haripriya R PM2 SPRoll no!

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OVERVIEW

#ntro$%ctionBloc& Dia'ram of Proce$%reTechni(%e in)ol)e$Data*ase 'enerationPraat softwareSpeech AnalysisEmotional Classification#mplementation

Hierarchial ClassificationConcl%sionLiterat%re Re)iew

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INTRODUCTION

Speech is the most effecti)e meto$ ofcomm%nication.

Machine an$ h%man interaction ena*le$.

Speech reco'nition refers to con)ersion of h%manspeech to se(%ence of wor$s.

Speech emotion state reco'nition is important fora)oi$in' monotonic part an$ for nat%ral interactionwith machine.

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BLOCK DIAGRAM OF PROCEDURE

Recor$in' So%n$+Microphone,

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TECNI!UE INVOLVED

Basic parameters etracte$ from speech foranalysis of emotions are ener'y/ formants/stan$ar$ $e)iation of pitch etc.

Proso$ic parameters li&e fre(%ency/ intensity/formant fre(%encies/ stan$ar$ $e)iation/ ener'y/$%ration an$ epoch co%nt are %se$ for emotionreco'nition.

These feat%res are %se$ to $istin'%ish fo%remotions an'ry/ happy/ ne%tral an$ sa$.

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C"ntd#

Software praat is %se$ to etract these feat%resecept epoch co%nt.

Emotional speech $ata*ase is create$ which is%se$ for analysis an$ )erification.

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DATABA$E GENERATION

Recor$in' so%n$ from $ifferent in$i)i$%als at$ifferent emotional states %sin' a microphone.

So+So%n$ Echan'e, tool can *e %se$ forspeech file con)ersions.

Con)ersion of these files to wa)efiles+.wa),.

Recor$in' can *e $one at --"33H4 an$ *itresol%tion of "1 *its5sample.

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PRAAT $OFTWARE

#t is an open so%rce software for analysis of speechin phonetics.

7se$ for analysis an$ )erification of res%lts.

Analysis of speech *y feat%re etraction.

Speech synthesis is also possi*le 'i)en theartic%latory parameters.

S%pporte$ on 7ni/MAC/8in$ows/Lin% etc.

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$PEEC ANAL%$I$

Analysis of )ario%s feat%res Pitch/ intensity/formant fre(%encies/ stan$ar$ $e)iation/ener'y/ $%ration an$ epoch co%nt.

Pitch fre(%ency: ;%n$amental fre(%ency of )i*rations of )ocal cor$s ispitch.

#ntensity: Amplit%$e of speech si'nal in $B is calc%late$.

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CONTD#

;ormant fre(%encies: Concentration of aco%stic ener'y aro%n$ a partic%lar

fre(%ency.

Stan$ar$ $e)iation: De)iation of speech si'nal from its mean )al%e.

Ener'y: =i)en *y

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∑−+=

=

12)(

nmi

mi

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CONTD#

D%ration: Classification $epen$s stron'ly on time $%ration of

si'nal.

Epoch Co%nt: The instants of perio$ic ecitations nee$e$ for speech

pro$%ction in )ocal tract system.

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EMOTIONAL CLA$$IFICATION

=eneral reco'nition of emotion *ase$ onfeat%res etracte$.

>e%tral an$ sa$ emotions lower pitch )al%e.

An'ry emotions hi'her pitch )al%es.

#ntensity )al%es hi'h for happy an$ an'ryemotions compare$ to ne%tral emotion.

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CONTD#

;ormant ;2 %se$ to classify sa$ an$ ne%tralemotions sa$ emotion has lower ;2 )al%eswhen compare$ to ne%tral emotion.

De)iation from mean is least for ne%tralemotion.

Ener'y *ase$ classification an'ry emotion haslower ener'y when compare$ to happyemotion.

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CONTD#

D%ration of an'ry emotion is fo%n$ to *e least.

>e%tral emotion has less n%m*er of epochs

when compare$ to sa$ one.

An'ry emotion has lower n%m*er of epochswhen compare$ to happy emotion.

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IMPLEMENTATION

All feat%res ecept Epoch cont are estimate$%sin' PRAAT software.

Epoch co%nt is o*taine$ %sin' 4ero fre(%encyfilterin' in MATLAB.

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CONCLU$ION

Hierarchical classification of emotional statesare $one *ase$ on etraction of emotionalfeat%res an$ comparison of etracte$ feat%res.

7se$ for i$entification of an'ry c%stomers incall centers/ mo*ile comm%nication/etc.

Also fin$s application in psycho therapy as a$ia'nostic tool.

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IERARCIAL CLA$$IFICATION

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LITERATURE REVIEW

Aco%stic ?oice Analysis 7sin' the Praatpro'ramme Comparati)e St%$y 8ith the Dr.Speech Pro'ramme

Analysis of LD@CELP co$er o%tp%t with So%n$echan'e an$ Praat software

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analysis of emotional state of a person and (1)

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