CODEWITHSUNDEEP
audiobufferlibrosa
Emanuela Liaci
Emanuela Liaci

Reputation: 185

audio buffer with librosa

In the following code I created a buffer which holds 10 frames of an audio file in each loop iteration. 

import collections
import librosa
import wave
my_buffer = collections.deque(maxlen=10)
f = wave.open('Desktop/0963.wav',"rb")
num_frames = f.getnframes()
for frame in range(num_frames):
   my_buffer.append(f.readframes(frame))

Out of the buffer, I need to get a numpy array representing audio amplitude of each sample point with librosa. Any idea?

Upvotes: 2

Views: 1739

Answers (2)

Tristan Kleyn
Tristan Kleyn

Reputation: 131

As mentioned above, scipy.io.wavfile is a good module for reading in and handling audio. If you want to stick with librosa, you can use this to do the same:

import librosa

filepath = 'Desktop/0963.wav'
samplerate = 44100

audio, samplerate = librosa.load(filepath, sr=samplerate)
audio.shape

What I like about librosa.load is that you can specify any sample rate to downsample an audio file to. Hope this helps.

Upvotes: 0

Anil_M
Anil_M

Reputation: 11453

If you use scipy.io.wavfile , it will directly read a wave file and load data to an numpy array. Which you can then slice as per your requirements.

scipy.io.wavfile reads a WAV file and returns the sample rate (in samples/sec) and data from the WAV file

>>> type(f)
<type 'tuple'>
>>> f
(44100, array([-36,  57, 156, ...,  66,  64,  77], dtype=int16))
>>>

Source Code

from scipy.io.wavfile import read
import numpy as np
f = read('your_audio.wav')
n = np.array(f[1],dtype=float)
for i in xrange(0,len(n),10):
    my_buffer = n[i:i+10]

my_buffer contents:

>>> 
[ -36.   57.  156.  198.  191.  126.   70.   42.   43.   62.]
[  69.   71.   83.  117.  159.  177.  151.   89.   14.  -27.]
[ -33.   -4.   21.   38.   42.   66.   94.  134.  144.  142.]
[ 118.  115.  111.  132.  122.  123.  103.  119.  125.  134.]
.....
.....

Here we have my_buffer with 10 frames per iteration that you can feed into next block.

Upvotes: 1

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