Note Detection
INTRODUCTION
Process/Timeline
Data Collection
>
1. Prediction Data
2. Training Data
Graphs of Processed Data
>
Time and Frequency Plots
Spectrograms
Approach
Difficulties
DSP TOOLS
Butterworth Filter
Segmentation
FFT (Fast Fourier Transform)
Main Frequency and Harmonic Detection
Center Clipping
AMDF
Classifiers
Takeaways
Future Plans
Our Code
Data Collection
We recorded a variety of music signals with two main objectives:
Test our data processing code (Prediction Data).
Generate an excel file in order to create some classifiers that will improve our system´s performance (Training Data).
1. PREDICTION DATA
2. TRAINING DATA
INTRODUCTION
Process/Timeline
Data Collection
>
1. Prediction Data
2. Training Data
Graphs of Processed Data
>
Time and Frequency Plots
Spectrograms
Approach
Difficulties
DSP TOOLS
Butterworth Filter
Segmentation
FFT (Fast Fourier Transform)
Main Frequency and Harmonic Detection
Center Clipping
AMDF
Classifiers
Takeaways
Future Plans
Our Code