FIRconv 0.0.3

Python implementation of real-time convolution for auralization

FIRconv

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Python implementations of Finite Impulse Response (FIR) filters for real-time convolutions.

The algorithms are mainly (but not strictly) the ones described in WEFERS, Frank. Partitioned convolution algorithms for real-time auralization. Logos Verlag Berlin GmbH, 2015. found here.

Current algorithms

• Overlap-add (OLA);
• Overlap-save (OLS);
• Uniformily Partitioned Overlap-Save (UPOLS) (generalized version)

Installation

Use pip to install FIRconv:

$ pip install FIRconv

Getting started

Bellow there's a pseudo-code showing how to setup a basic use of FIRconv for real time convolutions.

from FIRconv import FIRfilter
import numpy as np

# Initialize FIR filter
bufferSize = 2**10
method = 'upols'
FIRfilter(method, bufferSize, h=IR)

while True:
  output = FIRfilter.process(audio)
  play(output)

• For more in-depth examples have a look at testFIR.py or Algorithms_validationpy

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Collaborations are more than welcome!