[07867cd] | 1 | #! /usr/bin/env python |
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| 2 | # -*- coding: utf-8 -*- |
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| 3 | |
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| 4 | """ |
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| 5 | |
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| 6 | Compare the speed of several methods for reading and loading a sound file. |
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| 7 | |
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[1e4d90f] | 8 | Optionally, this file can make use of the following packages: |
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[8fb567c] | 9 | |
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| 10 | - audioread https://github.com/beetbox/audioread |
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[1e4d90f] | 11 | - scipy https://scipy.org |
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[8fb567c] | 12 | - librosa https://github.com/bmcfee/librosa |
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| 13 | - pydub https://github.com/jiaaro/pydub |
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[07867cd] | 14 | |
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[1e4d90f] | 15 | Uncomment the function names below and send us your speed results! |
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| 16 | |
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[07867cd] | 17 | """ |
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| 18 | |
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[1e4d90f] | 19 | |
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| 20 | test_functions = [ |
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| 21 | "read_file_aubio", |
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| 22 | "load_file_aubio", |
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| 23 | #"load_file_scipy", |
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| 24 | #"load_file_scipy_mmap", |
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| 25 | #"read_file_audioread", |
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| 26 | #"load_file_librosa", |
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| 27 | #"read_file_pydub", |
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| 28 | #"load_file_pydub", |
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| 29 | ] |
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| 30 | |
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| 31 | |
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[07867cd] | 32 | import numpy as np |
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| 33 | |
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| 34 | def read_file_audioread(filename): |
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[1e4d90f] | 35 | import audioread |
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[07867cd] | 36 | # taken from librosa.util.utils |
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| 37 | def convert_buffer_to_float(buf, n_bytes = 2, dtype = np.float32): |
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| 38 | # Invert the scale of the data |
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| 39 | scale = 1./float(1 << ((8 * n_bytes) - 1)) |
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| 40 | # Construct the format string |
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| 41 | fmt = '<i{:d}'.format(n_bytes) |
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| 42 | # Rescale and format the data buffer |
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| 43 | out = scale * np.frombuffer(buf, fmt).astype(dtype) |
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| 44 | return out |
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| 45 | |
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| 46 | with audioread.audio_open(filename) as f: |
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| 47 | total_frames = 0 |
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| 48 | for buf in f: |
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| 49 | samples = convert_buffer_to_float(buf) |
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[8fb567c] | 50 | samples = samples.reshape(f.channels, -1) |
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[07867cd] | 51 | total_frames += samples.shape[1] |
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| 52 | return total_frames, f.samplerate |
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| 53 | |
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| 54 | def load_file_librosa(filename): |
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[1e4d90f] | 55 | import librosa |
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[07867cd] | 56 | y, sr = librosa.load(filename, sr = None) |
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[8fb567c] | 57 | #print y.mean(), y.shape |
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| 58 | return len(y), sr |
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| 59 | |
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| 60 | def load_file_scipy(filename): |
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[1e4d90f] | 61 | import scipy.io.wavfile |
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[8fb567c] | 62 | sr, y = scipy.io.wavfile.read(filename) |
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| 63 | y = y.astype('float32') / 32767 |
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| 64 | #print y.mean(), y.shape |
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[07867cd] | 65 | return len(y), sr |
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| 66 | |
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[8fb567c] | 67 | def load_file_scipy_mmap(filename): |
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[1e4d90f] | 68 | import scipy.io.wavfile |
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[8fb567c] | 69 | sr, y = scipy.io.wavfile.read(filename, mmap = True) |
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| 70 | #print y.mean(), y.shape |
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| 71 | return len(y), sr |
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| 72 | |
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| 73 | def read_file_pydub(filename): |
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[1e4d90f] | 74 | from pydub import AudioSegment |
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[8fb567c] | 75 | song = AudioSegment.from_file(filename) |
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| 76 | song.get_array_of_samples() |
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| 77 | return song.frame_count(), song.frame_rate |
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| 78 | |
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| 79 | def load_file_pydub(filename): |
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[1e4d90f] | 80 | from pydub import AudioSegment |
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[8fb567c] | 81 | song = AudioSegment.from_file(filename) |
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| 82 | y = np.asarray(song.get_array_of_samples(), dtype = 'float32') |
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| 83 | y = y.reshape(song.channels, -1) / 32767. |
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| 84 | return song.frame_count(), song.frame_rate |
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| 85 | |
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[07867cd] | 86 | def read_file_aubio(filename): |
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[1e4d90f] | 87 | import aubio |
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[07867cd] | 88 | f = aubio.source(filename, hop_size = 1024) |
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| 89 | total_frames = 0 |
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| 90 | while True: |
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| 91 | samples, read = f() |
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| 92 | total_frames += read |
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| 93 | if read < f.hop_size: break |
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| 94 | return total_frames, f.samplerate |
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| 95 | |
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| 96 | def load_file_aubio(filename): |
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[1e4d90f] | 97 | import aubio |
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[07867cd] | 98 | f = aubio.source(filename, hop_size = 1024) |
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| 99 | y = np.zeros(f.duration, dtype = aubio.float_type) |
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| 100 | total_frames = 0 |
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| 101 | while True: |
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| 102 | samples, read = f() |
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| 103 | y[total_frames:total_frames + read] = samples[:read] |
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| 104 | total_frames += read |
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| 105 | if read < f.hop_size: break |
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| 106 | assert len(y) == total_frames |
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[8fb567c] | 107 | #print y.mean(), y.shape |
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[07867cd] | 108 | return total_frames, f.samplerate |
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| 109 | |
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| 110 | def test_speed(function, filename): |
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| 111 | times = [] |
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| 112 | for i in range(10): |
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| 113 | start = time.time() |
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[1e4d90f] | 114 | try: |
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| 115 | total_frames, samplerate = function(filename) |
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| 116 | except ImportError as e: |
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| 117 | print ("error: failed importing {:s}".format(e)) |
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| 118 | return |
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[07867cd] | 119 | elapsed = time.time() - start |
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| 120 | #print ("{:5f} ".format(elapsed)), |
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| 121 | times.append(elapsed) |
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[1e4d90f] | 122 | |
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[07867cd] | 123 | #print |
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| 124 | times = np.array(times) |
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| 125 | duration_min = int(total_frames/float(samplerate) // 60) |
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| 126 | str_format = '{:25s} took {:5f} seconds avg (±{:5f}) to run on a ~ {:d} minutes long file' |
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| 127 | print (str_format.format(function.__name__, times.mean(), times.std(), duration_min )) |
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| 128 | |
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| 129 | if __name__ == '__main__': |
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| 130 | import sys, time |
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| 131 | if len(sys.argv) < 2: |
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| 132 | print ("not enough arguments") |
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| 133 | sys.exit(1) |
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| 134 | filename = sys.argv[1] |
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| 135 | |
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[1e4d90f] | 136 | for f in test_functions: |
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| 137 | test_speed(eval(f), filename) |
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