Audio EQ Infer
audioeqinfer is a Python package for discovering audio equalization (EQ) curves of an altered signal through probabilistic inference about the signal source.
It supports both importance sampling and Metropolis-Hastings (MH) to infer flexible, data-driven EQ transformations from audio signals.
See examples notebook for usage examples.
Currently in beta.
Features
- Flexible spline-based parameterization of EQ curves
- Probabilistic inference using:
- Importance sampling
- Metropolis-Hastings
- Handles large audio files with online chunked processing
- Modular design with current set up for flow models (
f_X) - Clean API for inference and training
- Easily adjustable number of EQ parameters
Installation
This package is available on pypi
Requirements
- Python
- PyTorch
- torch
- nflows
- numpy
- scipy
- matplotlib
- statsmodels
- pedalboard
1 maintainer
Metadata
1 maintainer
Release files for audioeqinfer 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| audioeqinfer-0.1.0.tar.gz | 7.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| audioeqinfer-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.3 kB
Release files / audioeqinfer-0.1.0.tar.gz
| Download URL | audioeqinfer-0.1.0.tar.gz |
|---|---|
| Size | 7.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
3dd6763f9ea0657fcf548bbf1fdb2c6c3edc46e4de7f505d1dd6e796f560a983
|
|
BLAKE2b-256 checksum How to use checksums |
c479948aa43210cf65fe739bf300cbd47e2a580eb452ebd09cddf2b12f26420a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.2
|
Release files / audioeqinfer-0.1.0-py3-none-any.whl
| Download URL | audioeqinfer-0.1.0-py3-none-any.whl |
|---|---|
| Size | 8.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
380288bdd5283492193bc6ec45566b814d217699f16412d97a82027c53f72cf5
|
|
BLAKE2b-256 checksum How to use checksums |
963f63b68f082bdd2632432b98c987c2735c870a8071d1b5135ca0a008ef0d7c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.2
|
Security for audioeqinfer 0.1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
