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

Last update: Feb 23, 2022

Related tags

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 library contains a Tensorflow implementation of the paper Stability Analysis of Unfolded WMMSE for Power Allocation

Official Pytorch implementation of Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference (ICLR 2022)

Learned image compression

Code for unmixing audio signals in four different stems "drums, bass, vocals, others". The code is adapted from "Jukebox: A Generative Model for Music"

Implementation for "Domain-Specific Bias Filtering for Single Labeled Domain Generalization"

This repository contains the code and models necessary to replicate the results of paper: How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective

BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal Transfer

A flexible ML framework built to simplify medical image reconstruction and analysis experimentation.

Alignment Attention Fusion framework for Few-Shot Object Detection

(ICCV 2021 Oral) Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation.

Self-Supervised Learning of Event-based Optical Flow with Spiking Neural Networks

Image Restoration Using Swin Transformer for VapourSynth

Preprocessed Datasets for our Multimodal NER paper

nnFormer: Interleaved Transformer for Volumetric Segmentation Code for paper "nnFormer: Interleaved Transformer for Volumetric Segmentation "

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

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An efficient toolkit for Face Stylization based on the paper "AgileGAN: Stylizing Portraits by Inversion-Consistent Transfer Learning"

Code for "Learning the Best Pooling Strategy for Visual Semantic Embedding", CVPR 2021

StocksMA is a package to facilitate access to financial and economic data of Moroccan stocks.

This repository contains the code for our paper VDA (public in EMNLP2021 main conference)