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python Programming Glossary: scikits.audiolabHow do I write a 24-bit WAV file in Python? http://stackoverflow.com/questions/16767248/how-do-i-write-a-24-bit-wav-file-in-python python wav share improve this question You should try scikits.audiolab import numpy as np from scikits.audiolab import Sndfile Format.. You should try scikits.audiolab import numpy as np from scikits.audiolab import Sndfile Format sig np.array 0 1 0 1 0 dtype np.float32.. np.float32 f.close # use contextlib.closing in real code scikits.audiolab uses libsndfile so in addition to WAV files you can also use..
Simultaneous record audio from mic and play it back with effect in python http://stackoverflow.com/questions/17711672/simultaneous-record-audio-from-mic-and-play-it-back-with-effect-in-python 'pyaudio' and 'wave' to record and play back audio. Using 'scikits.audiolab' to import audio as a array and to be able to edit this array.. with the effect added to the original recording. import scikits.audiolab as audiolab import pyaudio import wave def recordAudio CHUNK..
What is the easiest way to read wav-files using Python [summary]? http://stackoverflow.com/questions/2063284/what-is-the-easiest-way-to-read-wav-files-using-python-summary most recent call last File test.py line 7 in import scikits.audiolab File usr lib python2.5 site packages scikits audiolab init .py.. available_encodings File numpy.pxd line 30 in scikits.audiolab.pysndfile._sndfile scikits audiolab pysndfile _sndfile.c 9632..
Mixing two audio files together with python http://stackoverflow.com/questions/4039158/mixing-two-audio-files-together-with-python audiolab but is fast and simple import numpy as np from scikits.audiolab import wavread data1 fs1 enc1 wavread file1.wav data2 fs2 enc2..
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Faster way to convert from 24 bit wav pcm format to float? http://stackoverflow.com/questions/9779416/faster-way-to-convert-from-24-bit-wav-pcm-format-to-float handles 24 bit values and it does the normalization from scikits.audiolab import Sndfile import numpy as np f Sndfile fname 'r' data np.array..
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