Brain-Wave Classification of Musical Stimuli

 

Two pilot EEG experiments to classify brain-wave representations of pitch, timbre, and loudness.

 

Blair Bohannan

Music 220C

Spring 2008

 

Introduction

Two pilot experiments (one dealing with musical intervals, the other with short melodies) were designed to investigate the form-bearing dimensions of pitch, loudness, and timbre, and the role they play in classification rates. 

 

In these experiments, subjects’ brain waves were recorded while the subjects listened to auditory stimuli.  Classification using machine-learning algorithms resulted in the rates reported here.  Stimuli that classify better (with higher rates) can be considered more different from each other than those with lower rates.

 

Stimuli

Four stimuli were constructed for each experiment.  They were programmed in ChucK and recorded using Audacity.

 

The interval experiment stimuli vary by four dimensions: interval, timbre, register, and loudness.  The melody experiment stimuli vary by melody, timbre, register, and loudness. Dimensional differences are such that the stimuli in the six possible pair combinations differ within the pair by either two or four dimensions.  Click here for the list of dimensional differences between stimuli pairs.

 

Click here for more information on the interval stimuli.

 

Click here for more information on the melody stimuli.

 

Hypothesis

Stimuli pairs that vary by more dimensions (ex. four dimensions of difference versus two) will yield greater pairwise classification rates. 

 

Methods

Seven subjects participated, with four subjects run on each experiment (one subject participated in both).  Click here for subject information.

 

28 monopolar electrodes in the standard 10-20 electrode placement, plus VEOG and HEOG electrodes, were used for these experiments.  All electrodes were referenced to the right earlobe.

 

Subjects were presented a total of 1200 stimuli trials at random (300 of each stimulus).  Click here for more information on experiment setup.

 

Click here for filtering information.

 

Results

Classification was done two ways: all four stimuli against each other (4-class rates) and all possible pair combinations.  Classification rates were obtained from a 10-fold cross-validation.

 

Overview of results – including

4-class and pair rates

Confusion matrices and conditional probabilities

ICA source-by-source classification rates

ICA source maps

 

Contrary to the hypothesis, stimuli pairs that varied by all four dimensions yielded both the highest and lowest classification rates.  In fact, the lowest pair rate in the intervals experiment was lower than the 4-class rate.  However, classification rates overall were high and showed a consistent trend in pairwise success rates across all subjects.

 

Schedule

Lab book is here.

 

Links

http://ccrma.stanford.edu

http://suppes-brain-lab.stanford.edu

 

Contact: blairbo@stanford.edu