1. Pitch Analysis of Vocalists in a Barbershop Quartet Adam Malsack ECE 601: All of Signal Processing

2. Background Pitches  Whole number ratios Equal vs. Just Temperament (Intonation)‏  Piano  Trombone How are pitches chosen?  Fundamentals?  Certain harmonics?

3. Goal of Signal Processing Collect data of each singer independently  Close mic  Isolation/bleed Perform pitch analysis on each singer  Choose held chords  FFT

4. Modeling Data Collected Human (male) voice characteristics  Relevant range 180Hz to 15kHz  Harmonic in nature  Fundamental range 180Hz to ~500Hz Noise characteristics  Well below signal (< -60dB)‏  White + 60Hz + odd harmonics

5. Signal Processing FFT Record fundamentals Extrapolate harmonic series Hypothesize what is intended