smimram/learning-effect
Modeling guitar amplifiers using machine learning.
This tool helps guitarists and audio engineers create digital models of unique guitar amplifier sounds. You provide an original, 'dry' guitar recording and a recording of that same sound played through your desired amplifier. The tool then produces a digital model that can recreate that specific amplifier's tone from any new guitar input.
No commits in the last 6 months.
Use this if you want to capture and digitally replicate the specific sound characteristics of a physical guitar amplifier or audio effect, without needing the physical hardware present.
Not ideal if you're looking for a wide range of pre-built amplifier models or a comprehensive digital audio workstation with many effects.
Stars
11
Forks
—
Language
OCaml
License
GPL-3.0
Category
Last pushed
Sep 02, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/smimram/learning-effect"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
tyiannak/pyAudioAnalysis
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
libAudioFlux/audioFlux
A library for audio and music analysis, feature extraction.
CPJKU/madmom
Python audio and music signal processing library
MTG/mtg-jamendo-dataset
Metadata, scripts and baselines for the MTG-Jamendo dataset
spotify/pedalboard
🎛 🔊 A Python library for audio.