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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