Note here since we’re dealing with scaling, we do want to go all the way up to and including 1.0 as a value.
#Gamesalad music series#
These functions are creating an envelope: a series of numbers from 0.0 to 1.0 that will scale our signal by specific amounts at specific times.duration - the length in seconds of the ramp.fs - sampling rate, should be the same sampling rate you used to generate the input.a number of channels by number of samples matrix input)? Experienced Matlab users: can you generalize your function to handle any number of channels (i.e. input - the input to which to apply the ramp.rampUp should fade in the beginning duration seconds of the input, and rampDown should fade out the last duration seconds of the input. These functions should be able to take the output of your sineTone function (or the function itself) as the input argument. How many samples long should your output vector be given the duration and sampling rate fs?.Since we are using digital signals, we can define time $t$ as $\frac$, where $f_s$ is our sampling rate and $n$ is the sample number.A sinusoid can be expressed by the equation: $y = \sin (2 \pi f t)$, where $f$ is frequency and $t$ is the current time.You could alternatively add an argument to the function for amplitude). The output will be a one-dimensional array or list of float values between -1.0 and 1.0 (It’s actually a good idea to keep audio samples slightly less than +/- 1.0, so +/- 0.99 might be better. duration - the length of the sine wave, in seconds, when played at the sampling rate.frequency - the frequency of the sine wave, also in Hertz.Save the function in your working folder as sineTone.m if working in Matlab or sineTone.py if working in Python. This function will generate an audio-rate sampled sine wave (sinusoid). Output = sineTone(fs, frequency, duration) If you are using Python and prefer creating Jupyter Notebooks to standalone Python scripts, please put all your functions in the same notebook. There are multiple libraries that contain the functionality to write. For instance, the sounddevice library is simple and easy to use, and is well-documented, although it will not write audio files.
If you are using Python, please be aware that there are a variety of libraries to play sound. Even if you have used Matlab, if you haven’t used it for audio-related tasks the tutorials can be useful. If you are completely new to Matlab, there are a couple tutorials on the resources page that will will help you get acquainted with this powerful tool. Groups will be assigned after class on Friday, April 2.
All portions of this lab are due on Friday, April 9th.
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