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Extract Envelope Features
Given a signal, return an dict of envelope values. Each value represents the duration of each feature.
Input:
- signal - array of signal data points
Output:
- attack - float
- decay - float
- sustain - float
- release - float
Maybe wrap this into a dictionary
envelope = {
"attack": 0.00,
"decay": 0.00,
"sustain": 0.00,
"release": 0.00,
}
Apply Amplitude Track of Envelope to Signal
Given a signal and an amplitude track construct the resulting signal. Multiply each signal point with corresponding amp track value
Input:
- signal - array of signal data points
- amp track - array of amplitude data points
Output:
- signal
Construct Envelope Amplitude Track
given attack, decay, sustain, release, produce an amplitude track that models this envelope
Input:
- envelope - probably a dictionary containing 'attack', 'decay', 'sustain', 'release'
Output:
- Amplitude track of envelope
Oscillator Function
Function to generate signal data given a freq, amplitude, and osc type
Input:
freq - int between 20 - 20K
amplitude - float between 0-1
type - string ['sinusoid', 'square', 'triangle', etc...]
duration - float
Output:
resulting signal
Extract Frequency Domain
Given a signal return the top (10?) frequencies that are present in the signal. Make sure these frequencies are percievable by the human ear and regular hardware(within 40hz-4Khz maybe?)
Input:
- Signal - array of signal data points
Output:
- List of most relevant frequencies in the signal with an amplitude
output = [(440, 0.8), (250, 0.3), (200, 0.1) ... ]
Implement Sliders in Jupyter Notebook
For these note books to be usable by others we will need some level of interaction. Sliders will be used to modify the state of the envelope for example. Implement sliders into jupyter notebook so we can use the sliders to adapt the values of our envelope interactively.
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