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Buffer audio samples into fixed-sized blocks, with overlap

Project description

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 arrays of arbitrary-length samples
  • Query the buffer, and it returns arrays 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.

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)

def input_callback(data, frames, time, status):
    global bb
    bb.extend(data.flatten())
    for block in bb:
        block_windowed = block * 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.

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