Psychoacoustics Research: Pitch Recall and Analysis
Explore the fascinating realm of psychoacoustics with a focus on pitch recall and analysis. Delve into the discrepancies between perceived and recalled frequencies, the impact on music accuracy, and the subjectivity of perfect pitch. Follow the collaborative efforts and experimental procedures of the research team as they delve into audio Fourier analysis and data acquisition methods. Witness the progression from breadboard to PCB in developing a functional sound recording device. Join the field tests involving musically experienced subjects to gather data for further analysis and refine the experimental procedures.
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Presentation Transcript
Psychoacoustics Ritika Anandwade, Juliana Harr, Sneh Pandya, Brock Brendal
Introduction Measuring? - Pitch recall and reproduction. How good are people at recalling pitch? Discrepancy in frequency between what subject hears and what they recall Why is this interesting? - Music heavily depends on the notes being accurate/pleasing to the ear. How much can artists get away with when instruments are out of tune or notes deviate from a scale? How subjective is perfect pitch? Does it make a difference whether or not the subject is musically trained?
Collaboration Sneh / Brock: Audio Fourier analysis Rithi / Juliana: Experimental procedures and testing Weekly meetings usually happen Monday afternoons: lately have been doing PCB stuff, now shifting to finishing software
Instruments and Data Acquisition Microphone, DAC, SD-card reader, LCD, Keypad Our record-sound function uses all of the above Record .bin generate .wav fourier analysis of .wav pick peak frequencies (primary + overtone) Our recording is accurate to ~ 2 Hz (from breadboard), could be less once PCB s are final with casing Data also via questionnaires that subjects fill out
Breadboard Status All functional Proofs of concept: Arduino SD card breakout Electret microphone amplifier LCD Keypad Speaker and amp BME680 LED INA219 Hello world Recording sounds and saving file to SD Playing music through speaker
PCB Status All functional Arduino SD card breakout Electret microphone amplifier LCD Keypad INA219 Casing coming soon
Experiment Run Plan / Field Tests Test Subject 1: Male, 21, Musically Experienced Testing Procedure: (Prototype using online tone generator) 1. Connect noise cancelling headphones to laptop 2. Play selected note for 5 seconds 3. Turn laptop to subject immediately and give Test Subject 2: Female, 22, Musically Experienced them 20 seconds to identifies frequencies and select one 4. Repeat
Proposed Plan Questionnaire to collect data about the following: Testing Procedure: (Final Goal for >50 people) Age and sex of subject 1. Play note (C,F, or A) on guitar for 5 seconds Auditory barriers 2. Fast Fourier Transform to identify peak Instruments they can play frequencies Self-defined musical talent 3. Give subject 20 seconds to identify frequency on laptop 4. Repeat with other notes for 3 octaves (9 samples total)
Data Analysis Graphically determine frequencies via FFT using scipy Peaks have a finite width, visible once zoomed in Accurate to ~ 2 Hz Measure difference from what subject picks Working on code to print top frequencies
...looking to the future In the paper: The experiment and processes from top to bottom How experiment was structured, data collection and processing, etc. Plots of data and detailed/technical explanations In the presentation: All data and what they mean in bullet points Raw numbers, characteristics of the subjects, plots, How the whole project went: ups and downs, challenges and triumphs
