Python script that takes an Impulse response .wav and a input .wav to demonstrate audio convolution.

Last update: Feb 23, 2022

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Deep Learning convolver

Overview

convolver

Python script that takes an Impulse response .wav and a input .wav to demonstrate audio convolution.

Created by Sean Higley [email protected] Inspired by Dan Price's video on Spring Reverb Analysis and Synthesization

IMPORTANT LIBRARIES: - numpy - matplotlib - scipy

Running from the command line:

unix>>	python3 convolver.py <impulse repsonse .wav> <input file .wav> <output file .wav> 

*Optional		-p		flag at the end to plot spectrograms

Using the sample files: unix>> python3 convolver.py ir.wav test_in.wav test_out.wav -p

NOTABLE ISSUES: If the program throws errors about Chunk Issues regarding no data, it is likely that the audio files you used have extra metadata or tags within them. I suggest removing all metadata/tags so that the output files are not silent.

Owner

Sean Higley

Sean Higley is an undergraduate student at University of the Pacific studying Computer Science with a concentration in Software Engineering/Development.

GitHub Repository

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Python script that takes an Impulse response .wav and a input .wav to demonstrate audio convolution.

Related tags

Overview

convolver

Owner

Sean Higley

This repo contains the implementation of the algorithm proposed in Off-Belief Learning, ICML 2021.

Joint deep network for feature line detection and description

Improving 3D Object Detection with Channel-wise Transformer

In this project we combine techniques from neural voice cloning and musical instrument synthesis to achieve good results from as little as 16 seconds of target data.

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Quasi-Dense Similarity Learning for Multiple Object Tracking, CVPR 2021 (Oral)

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