Mercurial > hg > audio-bootcamp-planning
changeset 1:99434d86405a
Added some initial tutorial files
| author | Adam <adamstark.uk@gmail.com> |
|---|---|
| date | Wed, 12 Sep 2012 20:02:32 +0100 |
| parents | b234c3417899 |
| children | 7b9a06f64ab1 |
| files | basic-numpy.py lists-and-python-arrays-for-audio.py sndfile-convert-wav-to-aiff-in-folder.py sndfile-read-and-play.py sndfile-write.py viola.wav wavread.py |
| diffstat | 7 files changed, 264 insertions(+), 0 deletions(-) [+] |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/basic-numpy.py Wed Sep 12 20:02:32 2012 +0100 @@ -0,0 +1,53 @@ +import numpy as np + + +################################################# +############# NUMPY ARRAYS FOR AUDIO? ########### +################################################# + +# I am a numpy array containing some audio +myAudio = np.array([-0.25,0.0,0.25,0.5]) + +# turn it up! +myAudio = myAudio*2. + +# great! +print myAudio + + +# what can we find out about our numpy audio? + + +print "Dimensions: ",myAudio.ndim + +print "Size of each dimension: ",myAudio.shape + +print "Total number of elements: ", myAudio.size # this is product of shape dimensions + +print "Data type: ",myAudio.dtype # ...or dtype.name + +print "Bytes per element: ",myAudio.itemsize + +print "Second element: ",myAudio[1] + +print "All elements up to (but not including) 2: ",myAudio[:2] + +print "All elements from index 2 to end: ",myAudio[2:] + +print "Abs!: ",np.abs(myAudio) + +print "Min: ",np.min(myAudio) + +print "Max: ",np.max(myAudio) + +print "Sum: ",np.sum(myAudio) + +print "Sqrt: ",np.sqrt(9) + +print "FFT!: ",np.fft.fft(myAudio) + +print "Random!: ",np.random.random(4) + +print "Ones: ",np.ones(4) + +print "Zeros: ",np.zeros(4)
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/lists-and-python-arrays-for-audio.py Wed Sep 12 20:02:32 2012 +0100 @@ -0,0 +1,39 @@ +import array as array + + +################################################# +############# PYTHON LISTS FOR AUDIO? ########### +################################################# + +# I am a list of audio samples +myAudio = [-0.25,0.0,0.25,0.5] + +# turn it up! +myAudio = myAudio*2 + +# oh dear! +print myAudio + +# also, look what got into our array +myAudio.append("hello!") + +# oh dear again! - Python stores type information for every entry? Do we want +# to do that 44100 times a second? +print myAudio + + +################################################# +############# PYTHON ARRAYS FOR AUDIO? ########## +################################################# + +# I am an array of audio samples +myAudio = array.array('d',[-0.25,0.0,0.25,0.5]) + +# this doesn't work, that's good +# myAudio.append("hello") + +# but what about this! +myAudio = myAudio*2 + +# oh dear oh dear oh dear +print myAudio \ No newline at end of file
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/sndfile-convert-wav-to-aiff-in-folder.py Wed Sep 12 20:02:32 2012 +0100 @@ -0,0 +1,44 @@ +import os +from scikits.audiolab import Sndfile +from scikits.audiolab import Format + +# get the current working directory +path = os.getcwd() + +# get all file names in the current directory +files = os.listdir(path) + +# for each file name +for filename in files: + + # if the file ends with a .wav extension + if filename.endswith('.wav'): + + # create a Sndfile instance for the file + f_in = Sndfile(filename, 'r') + + # extract the number of frames + numframes = f_in.nframes + + # read all audio samples into 'data' + data = f_in.read_frames(numframes) + + # extract the name (without extension from the file name) + name,extension = os.path.splitext(filename) + + # create a new filename with a .aiff extension + new_filename = name + '.aiff' + + # create the new format based on aiff + format = Format('aiff') + + # create a new Sndfile instance for the output file + f_out = Sndfile(new_filename, 'w', format, f_in.channels, f_in.samplerate) + + # write out audio samples to the new file + f_out.write_frames(data[:numframes]) + + # close the audio file + f_out.close() + +
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/sndfile-read-and-play.py Wed Sep 12 20:02:32 2012 +0100 @@ -0,0 +1,52 @@ +from scikits.audiolab import Sndfile +from scikits.audiolab import Format +from scikits.audiolab import play + +################################################# +######## CREATING A SOUND FILE INSTANCE ######### +################################################# + +# create Sndfile instance with our example audio file +f = Sndfile('viola.wav', 'r') + + +################################################# +######## EXTRACTING AUDIO FILE META-DATA ######## +################################################# + +# extract and print sample rate +fs = f.samplerate +print "sample rate: ",fs + +# extract and print the number of channels +nc = f.channels +print "number of channels: ",nc + +# extract and print the encoding format +enc = f.encoding +print "encoding format: ",enc + +# extract the number of frames - single samples for +# mono and pairs of samples for stereo +nsamples = f.nframes + + +################################################# +######## READ AUDIO SAMPLES FROM THE FILE ####### +################################################# + +# we can read audio samples using the read_frame method +data = f.read_frames(nsamples) + + +################################################# +############# PLAYING AN AUDIO FILE ############# +################################################# + +# play the audio file data in 'data' at 44100Hz +play(data,fs=44100) + + +################################################# +################################################# +#################################################
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/sndfile-write.py Wed Sep 12 20:02:32 2012 +0100 @@ -0,0 +1,64 @@ +from scikits.audiolab import Sndfile +from scikits.audiolab import Format +from scikits.audiolab import play + +################################################# +######## CREATING A SOUND FILE INSTANCE ######### +################################################# + +# create Sndfile instance with our example audio file +f = Sndfile('viola.wav', 'r') + + +################################################# +######## EXTRACTING AUDIO FILE META-DATA ######## +################################################# + +# extract and print sample rate +fs = f.samplerate +print "sample rate: ",fs + +# extract and print the number of channels +nc = f.channels +print "number of channels: ",nc + +# extract and print the encoding format +enc = f.encoding +print "encoding format: ",enc + +# extract the number of frames - single samples for +# mono and pairs of samples for stereo +nsamples = f.nframes + + +################################################# +######## READ AUDIO SAMPLES FROM THE FILE ####### +################################################# + +# we can read audio samples using the read_frame method +data = f.read_frames(nsamples) + + +################################################# +########## WRITING TO A NEW AUDIO FILE ########## +################################################# + +# create a name for the new file +new_filename = 'output_file.wav' + +# create the output audio data, in this case a simple copy +output_data = data + +# Create a Sndfile instance for writing wav files @ 44100 Hz +format = Format('wav') +f = Sndfile(new_filename, 'w', format, 1, 44100) + +# Write out the first 3 seconds worth of samples (fs*3) +f.write_frames(output_data[:fs*3]) + +# close the audio file +f.close() + +################################################# +################################################# +#################################################
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/wavread.py Wed Sep 12 20:02:32 2012 +0100 @@ -0,0 +1,12 @@ +from scikits.audiolab import wavread + +# specify a file name +filename = "viola3.wav" + +# extract audio from file +x, fs, enc = wavread(filename) + +# print out the first 50 samples +print x[0:50] + +