Xavi Lizarraga

@xaviliz

Researching about sound, music & vintage gear.

Audio R&D Engineer Terrassa - Barcelona

Followers

Following

Public Repos

Private Repos

Language Breakdown

Lines of code distribution across 15 owned repositories

1.8M Total LOC

Jupyter Notebook

1,379,458 lines

77.6%

N/A

Python

188,746 lines

10.6%

N/A

Java

63,719 lines

3.6%

N/A

Processing

58,291 lines

3.3%

N/A

C++

53,141 lines

3.0%

N/A

Other

33,168 lines

1.9%

N/A

I-Shaped Developer

I-shaped

Specialist — deep expertise in Jupyter Notebook

Jupyter Notebook

Python

Java

Processing

C++

Collaboration Network

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0 active collaborators

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Growth

+18%

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Coding Streak

Contribution activity over the past year

1 day

Contributions

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Pull Requests

Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun

Based on GitHub activity

Less

Followers 24

blacky_ad

@blackcatad

Francisco Bernardo

@frantic0

Vincent Cusson

@VincentCusson

Sai Ravi Teja Gangavarapu

@FloareDor

Arjun Bahuguna

@arjbah

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Following

9 total

Marta Rubio

@Martarubio93

Juan Sebastián Gómez-Cañón

@juansgomez87

Genís Plaja-Roglans

@genisplaja

Darcy Beurle

@dbeurle

Joe Bowbeer

@joebowbeer

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Synced via GitHub

Top Repositories

signalGenerator

Generates different test signals like noises, waves and sweep tones.

4 0

Python

analog-digital-level-calibration

This repository contains some explanations and functionailities to calibrate digital to analog reference levels using EBU R68 or SMPT RP155 standard and Dolby calibration used in K-System, which map -20dBFS(RMS) to 0VU or +4dBu in professional equipment.

2 0

Python

TestSignalGeneratorAndroid

Testing Signal Generator for Android. Three testing signals can be generated.

Tools to infer, visualize and format instrumental vs. voice model predictions with clean timestamps, confidence levels, and CSV export. Perfect for learning audio classification results.

0 0

Shell

feature-informed-training-for-analog-fxs

Feature-informed neural modeling of analog audio effects (LA2A compressor & OD300 overdrive). Trains neural networks to capture non-linear dynamics using feature conditioning, enabling accurate emulation of hardware response and control behavior.

0 0

Python

homebrew-essentia

Homebrew build scripts for Essentia

0 0

Ruby

pedalnet

Deep Learning for Guitar Effect Emulation

0 0

Python

essentia-builds

Docker images for building Essentia