Last updated:
0 purchases
blockbuffer 0.0.4
Python: Buffer audio samples into fixed-sized blocks, with overlap
This small utility package encapsulates a single-consumer, single-producer ringbuffer.
Populate the buffer with arbitrary-length arrays
Query the buffer, and it returns blocks of a specified fixed length, optionally with overlap between successive blocks
It is designed primarily for applying the short-time Fourier transform (STFT) to successive blocks of an input audio stream (see below for example).
It is safe for usage in real-time audio applications, as no memory allocation or system I/O is done within the extend method as long as auto_resize=False is specified when initialising.
Usage
To do block-sized buffering with overlap in conjunction with sounddevice:
import sounddevice as sd
import numpy as np
import blockbuffer
block_size = 1024
hop_size = 128
bb = blockbuffer.BlockBuffer(block_size=block_size,
hop_size=hop_size,
num_channels=2)
def input_callback(data, num_frames, time, status):
global bb
bb.extend(data)
for block in bb:
block_windowed = block.T * np.hanning(block_size)
block_spectrum = np.fft.rfft(block_windowed)
stream = sd.InputStream(callback=input_callback, channels=1)
stream.start()
Source code
Source code is available on GitHub.
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
There are no reviews.