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BY: JOSH TABOR Applying Multilayer Perceptron Artificial Neural Networks to Recognizing Piano Keystrokes.

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Presentation on theme: "BY: JOSH TABOR Applying Multilayer Perceptron Artificial Neural Networks to Recognizing Piano Keystrokes."— Presentation transcript:

1 BY: JOSH TABOR Applying Multilayer Perceptron Artificial Neural Networks to Recognizing Piano Keystrokes

2 The Project Create an MLP ANN to correctly identify which piano keys are pushed based on their FFT coefficients Test ANN at different noise levels and maybe on different pianos

3 The Plan Collect data (Middle C – Tenor C) Keys to be used

4 The Plan (continued) Antialiasing Filter Downsample  Sampled at 44.1Khz  Highest f= 523Hz  Downsample to 1200Hz  Saves processing time Breakup signal

5 The Plan (continued) Take FFT Average windows Label Develop ANN Test ANN

6 Expected Results Expect it to work fairly well (90% classification rate) FFT cleaner than expected Performance degrades with SNR decrease


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