data mining for psycho acoustics

8/14/2019 Data Mining for Psycho Acoustics

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Introduction

Aim of the project:

Exploring relationships between peoplesresponses over psycacoustic signals and theirbackgorunds.


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Psychoacoustics

What is psychoacoustics?

- Field that investigates subjective human perception

of sounds

Hearing Process

- Mechanical

- Psychological

- Emotional


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Deciding Sounds

Matched sounds with colors in Munsell Color Wheel


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SOUNDS

Sound 1: Train Sound; longer duration, cooler,teal

Sound 2: Ding; grazing , warm, short duration,

orange Sound 3: Rain; noisy vibes, small tremors,

dark teal

Sound 4: Birds; slower rhythm, living,

purple

Sound 5: Ocean; smooth, long duration,

olive


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Sound 6: Factory Hum; small tremors, noisy vibes, green

Sound 7: Pulse; smooth, fast rhythmic, warm,

dark orange Sound 8: Voltage; high energy, increasing repetition,

dark yellow

Sound 9: Machine;quakes rumbles,not warm not cold,

light yellow Sound 10:Wind; smooth, decreasing rhythm, light

red


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Sound 11:Snore;decreasing rhythm, not warm not cold,pink

Sound 12:Skid Stop; noisy vibes, beating rhythms,blue

Sound 13:Piano; fast impulses, warm,

red

Sound 14:White Noise; sharper attack, grazing,

light orange Sound 15:Drum Roll; high frequency, beating rhythm

navy


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Application Design

Platform Decision

- Web Site or Dependent Application

Technical Properties of Facebook Application

- FBML

- FQL

- Facebook Client Library


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Data Mining

Apriori Algorithm

- Associations between attributes

Interface

- RapidMiner

- WEKA

- Application Implementation


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Handling Datas

Collecting Data

-Text Files

-Storing at Excel

Classifying the Data

- Age Groups

- Education

- Gender


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Implementation


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Apriori Application


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Problems

Design Issues

Server Issues

Data Mining Tool Issues

Data Variability Issues


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Results


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Data Specifications

205 people

95 male, 110 female

122 University Student or Graduate, 52 High School Student or Graduate, 31 Primary School or

Graduate

25 people aged between 0-12 , 30 people aged

between 13-18, 85 people aged between 19-23, 45people aged between 24-40 and 20 people aged over40


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Similar Patterns Despite the different ages, gender and educational

backgrounds, people tend to find slow rhythmic andliving sounds related to peace. Another outcome isthat, people generally tend to respond high frequencyand beating rhythms as joyful and happy.


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Different Patterns People aged between 0-12 are tend to find quake

rumbles related to fear and anxiety, while people whoare aged 13-18 and 19-23 are tend to find same soundsdisturbing.


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References Zwicker,E. & Fastl, H.(1999) Psychoacoustics: facts

and models Berlin; New York: Springer

Meyer, L. B. (1956) Emotion and Meaning in MusicEssex: Phoenix Books

Gelfand, S. A. (1998) Hearing: an introduction topsychological and physiological acoustics New York

Marcel Dekker Facebook Features. (n.d.). Retrieved January 20,2009,

from Wikipedia:

http://en.wikipedia.org/wiki/Facebook_features


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Chang A., & OSullivan C. (2008) An Audio - HapticAesthetic Framework Influenced by Visual Theory

Munsell Color System (n.d.) Retrieved April 5 2009from Wikipedia.

http://en.wikipedia.org/wiki/Munsell


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Thanks to Ycel Saygn

data mining for psycho acoustics

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