Noise Reduction Python Packages

pvkoala

On-device noise suppression powered by deep learning

speexdsp-ns

Python bindings of speexdsp noise suppression library

framework-reproducibility

Providing reproducibility in deep learning frameworks

asrpy

Artifact Subspace Reconstruction for Python

textual-echo-cancellation

Textual Echo Cancellation

robustpixelmaker

Reproducible, leakage-safe feature selection that works directly on image pixels.

refsig

Package for obtaining the referential signal from a set of unipolar iEEG data

tensorflow-determinism

Providing reproducibility in deep learning frameworks

sieve-referee

A deterministic, zero-dependency, local-first text structure and plagiarism screening engine. Built to evaluate text without relying on probabilistic AI models.

flood-fill-filter

A heuristic tool for detecting high detail areas in lossy compressed images.

pvkoalademo

On-device noise suppression powered by deep learning

speech-selib

🎙️ A small speech enhancement library using ONNX models 🚀📦

nsnet2-denoiser

NSNet2 Deep Noise Suppression (DNS) package

torchgating

TorchSpectralGate is a PyTorch-based implementation of Spectral Gating, an algorithm for denoising audio signals.

asrpy-eh

Artifact Subspace Reconstruction for Python

framework-determinism

Providing reproducibility in deep learning frameworks

dopelines

Douglas-Peucker line simplification

phonepod

Local AI audio restoration. Phone recording to podcast quality. Zero cloud.

soundpy

SoundPy (alpha stage) is a research-based python package for speech and sound. Applications include deep-learning, filtering, speech-enhancement, audio augmentation, feature extraction and visualization, dataset and audio file conversion, and beyond.

fabada

Fully Adaptive Bayesian Algorithm for Data Analysis (FABADA) is a new approach of noise reduction methods. In this repository is shown the package developed for this new method based on Sánchez-Alarcón, P. M. & Ascasibar, Y. 2023.

pysoundtool

SoundPy (alpha stage) is a research-based python package for speech and sound. Applications include deep-learning, filtering, speech-enhancement, audio augmentation, feature extraction and visualization, dataset and audio file conversion, and beyond.

tfgating

TFSpectralGate is a TensorFlow-based implementation of Spectral Gating, an algorithm for denoising audio signals.

platypush-speexdsp-ns

Python bindings of speexdsp noise suppression library