Created
March 31, 2018 02:55
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Generate a .wav sound file from a NumPy array.
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| import numpy as np | |
| from scipy.io.wavfile import write | |
| # Samples per second | |
| sps = 44100 | |
| # Frequency / pitch of the sine wave | |
| freq_hz = 440.0 | |
| # Duration | |
| duration_s = 5.0 | |
| # NumpPy magic | |
| each_sample_number = np.arange(duration_s * sps) | |
| waveform = np.sin(2 * np.pi * each_sample_number * freq_hz / sps) | |
| waveform_quiet = waveform * 0.3 | |
| waveform_integers = np.int16(waveform_quiet * 32767) | |
| # Write the .wav file | |
| write('first_sine_wave.wav', sps, waveform_integers) |
just trying to do that for so long
@dancheng97 2D NumPy array: What are you trying to do with it? Read each stereo channel separately?
Single channel would be enough for me
try soundfile.read('link/to/wav/file.wav')
It will return a numpy array and sample_rate
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can you tell if that is possible to get a 2d numpy array from wav file?