makesounds.py

#!/usr/bin/python 
# based on : www.daniweb.com/code/snippet263775.html
import math
import wave
import struct

# Audio will contain a long list of samples (i.e. floating point numbers describing the
# waveform).  If you were working with a very long sound you'd want to stream this to
# disk instead of buffering it all in memory list this.  But most sounds will fit in 
# memory.
audio = []
sample_rate = 44100.0


def append_silence(duration_milliseconds=500):
    """
    Adding silence is easy - we add zeros to the end of our array
    """
    num_samples = duration_milliseconds * (sample_rate / 1000.0)

    for x in range(int(num_samples)): 
        audio.append(0.0)

    return


def append_sinewave(
        freq=440.0, 
        duration_milliseconds=500, 
        volume=1.0):
    """
    The sine wave generated here is the standard beep.  If you want something
    more aggresive you could try a square or saw tooth waveform.   Though there
    are some rather complicated issues with making high quality square and
    sawtooth waves... which we won't address here :) 
    """ 

    global audio # using global variables isn't cool.

    num_samples = duration_milliseconds * (sample_rate / 1000.0)

    for x in range(int(num_samples)):
        audio.append(volume * math.sin(2 * math.pi * freq * ( x / sample_rate )))

    return


def save_wav(file_name):
    # Open up a wav file
    wav_file=wave.open(file_name,"w")

    # wav params
    nchannels = 1

    sampwidth = 2

    # 44100 is the industry standard sample rate - CD quality.  If you need to
    # save on file size you can adjust it downwards. The stanard for low quality
    # is 8000 or 8kHz.
    nframes = len(audio)
    comptype = "NONE"
    compname = "not compressed"
    wav_file.setparams((nchannels, sampwidth, sample_rate, nframes, comptype, compname))

    # WAV files here are using short, 16 bit, signed integers for the 
    # sample size.  So we multiply the floating point data we have by 32767, the
    # maximum value for a short integer.  NOTE: It is theortically possible to
    # use the floating point -1.0 to 1.0 data directly in a WAV file but not
    # obvious how to do that using the wave module in python.
    for sample in audio:
        wav_file.writeframes(struct.pack('h', int( sample * 32767.0 )))

    wav_file.close()

    return


def noteToFreq(note):
    a = 440 #frequency of A (coomon value is 440Hz)
    return (a / 32.) * (2 ** ((note - 9.) / 12))
    
    
audio = []
for note in range(80,95,2):
    append_sinewave(freq=noteToFreq(note),duration_milliseconds=60)
save_wav("ends.wav")

audio = []
for _ in range(8):
    append_sinewave(freq=noteToFreq(80),duration_milliseconds=30)
    append_sinewave(freq=noteToFreq(85),duration_milliseconds=30)
    append_sinewave(freq=noteToFreq(90),duration_milliseconds=30)
save_wav("errs.wav")

audio = []
append_sinewave(freq=noteToFreq(66+12),duration_milliseconds=150)
append_silence(duration_milliseconds=150)
save_wav("shts.wav")

audio = []
append_sinewave(freq=noteToFreq(66+12),duration_milliseconds=450)
append_silence(duration_milliseconds=150)
save_wav("lons.wav")

notes = [45, 47, 48, 50, 52, 53, 55, 57, 59, 60, 62, 64, 65, 67]

for i in range(len(notes)):
    audio = []
    append_sinewave(freq=noteToFreq(notes[i]+12),duration_milliseconds=200)
    save_wav("note"+str(i+1)+".wav")