Pitch (in speech) MATLAB tutorial series (Part 2.2) Pouyan - - PowerPoint PPT Presentation

Pitch (in speech)

Pouyan Ebrahimbabaie Laboratory for Signal and Image Exploitation (INTELSIG)

• Dept. of Electrical Engineering and Computer Science

University of Liège Liège, Belgium Applied digital signal processing (ELEN0071-1) 27 Mars 2019

MATLAB tutorial series (Part 2.2)

Speech production mechanism

Speech production mechanism

Speech production mechanism

Speech production mechanism Pitch of a person’s voice reflects the fundamental frequency which the vocal folds are vibrating.

“Pitch” in psychology of voice

• Males voice pitch: 85 to 180 Hz
• Females voice pitch: 165 to 255 Hz
• Vocal folds are ticker and larger in males

(Adam’s apple in males)

• Larynx size partly controlled by testosterone
• Voice pitch may dramatically influence our

judgment about the speakers

• Male with low-pitched voice tend to be

perceived as more,

• Attractive
• Physically stronger
• Dominant (respected & commanding)
• Aggressive (very low-pitched)

“Pitch” in psychology of voice

• Female with high-pitched voice tend to be

perceived as more,

• Attractive
• Female with low-pitched voice tend to be

perceived as more,

• Dominant
• Researches on many elections showed that

females and males preferred low-pitched candidates

“Pitch” in psychology of voice

• Female with high-pitched voice tend to be

perceived as more,

• Attractive
• Female with low-pitched voice tend to be

perceived as more,

• Dominant
• Researches on many elections showed that

females and males preferred low-pitched candidates Simple test: which one you will vote for?

“Pitch” in psychology of voice

• Female with high-pitched voice tend to be

perceived as more,

• Attractive
• Female with low-pitched voice tend to be

perceived as more,

• Dominant
• Researches on many elections showed that

females and males preferred low-pitched candidates Simple test: which one you will vote for?

Application: speech recognition

Application: speech recognition

MATLAB: Pitch

MATLAB R2018b: [f0,loc]=pitch(audioIn,fs)

MATLAB: Pitch

MATLAB R2018b: [f0,loc]=pitch(audioIn,fs)

Methods: NCF – Normalized Correlation Function PEF – Pitch Estimation Filter …

MATLAB: Pitch

Example 2.6: Pitch 1 % Read audio file [y,fs] = audioread('TNS_Pitch1.mp3'); % Play the sound sound(y,fs) % Time vector t=0:1/fs:(length(y)-1)/fs; % Plot the sound figure(1) plot(t,y,'LineWidth',1) ylabel('Amplitude') xlabel('Time (second)')

Example 2.6: Pitch 1 % Extract pitces and their corresponding indexes [f0,idx] = pitch(y,fs); % Plot pitches figure(2) plot(idx,f0,'LineWidth',2) ylabel('Pitch (Hz)') xlabel('Sample Number')

Example 2.6: Pitch 1 % Find trend (using Moving Average fillter) n=700; wts = [1/n;repmat(1/n,n-1,1);1/n]; f0S = conv(f0,wts,'valid'); % Plot trend figure(3) plot(f0S,'LineWidth',2)

Example 2.7: Pitch 2 % Read audio file [y] = audioread('TNS_Pitch2_A.mp3'); % Pick a channel yA=y(:,1); % Read audio file [y,fs] = audioread('TNS_Pitch2_B.mp3'); % Pick a channel yB=y(:,1); % Pitch A [f0A,idxA] = pitch(yA,fs); % Pitch B [f0B,idxB] = pitch(yB,fs);

Example 2.7: Pitch 2 % Find trends (using Moving Average fillter) n=700; wts = [1/n;repmat(1/n,n-1,1);1/n]; f0SA = conv(f0A,wts,'valid'); f0SB = conv(f0B,wts,'valid'); % Plot trend figure(1) plot(f0SA,'LineWidth',2) Pause() … plot(f0SB,'LineWidth',2) …

It is popular among some politicians, actors and singers to lower their pitch ~ - 40 Hz

Useful links

• https://nl.mathworks.com/help/audio/ref/pitch.html
• https://nl.mathworks.com/help/econ/moving-average-

trend-estimation.html

• https://www.researchgate.net/publication/314580952_

Psychology_of_Voice

• https://nl.mathworks.com/help/econ/moving-average-

trend-estimation.html

• https://www.americanscientist.org/article/how-voice-

pitch-influences-our-choice-of-leaders

• https://www.ncbi.nlm.nih.gov/pmc/articles/PMC335071

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