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3.0.0

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ai-music-remixer

AI-powered intelligent music remixer with optional neural transitions

Published4 Dec 2025
Direct dependencies6
Transitive dependenciesNot calculated

README

Version 3.0.0 documentation

AI Music Remixer

AI-powered intelligent music remixer with optional neural transitions.

Features

  • Intelligent audio remixing using Spleeter for stem separation
  • Optional PyTorch-based neural transition model for smoother transitions
  • Beat-synchronized remixing with automatic tempo detection
  • Command-line interface for easy usage
  • Safe fallback to deterministic smoothing if neural model is unavailable

Installation

pip install ai_music_remixer

For GPU support (optional):

pip install ai_music_remixer[gpu]

Usage

Command Line

Basic remix:

ai-remix input.mp3 -o output.wav

Beat-synchronized remix:

ai-remix input.mp3 --beats -o output.wav

With custom BPM:

ai-remix input.mp3 --beats --bpm 120 -o output.wav

Python API

from ai_music_remixer import ai_remix, ai_remix_beatsync

# Basic remix
ai_remix("input.mp3", "output.wav")

# Beat-synchronized remix
ai_remix_beatsync("input.mp3", "output.wav", beats_per_minute=120)

Neural Transition Model

The package includes an optional PyTorch-based neural transition model. If you place a trained checkpoint file at models/transition_ckpt.pt, the remixer will automatically use it for smoother transitions. Without a checkpoint, the package falls back to deterministic Gaussian smoothing.

To train a model (requires PyTorch):

python -m ai_music_remixer.neural.train_transition

Requirements

  • Python >= 3.8
  • pydub
  • librosa
  • soundfile
  • spleeter
  • numpy
  • scipy

Optional:

  • torch (for neural transitions)

License

MIT

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Declared dependencies 6

Native requirements
6 direct targetsNot calculated transitive count
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Distribution files

2 collected
ai_music_remixer-3.0.0-py2.py3-none-any.whl

bdist_wheel · 7.42 KB · Python py2.py3

Source file
ai_music_remixer-3.0.0.tar.gz

sdist · 6.47 KB · Python source

Source file

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package_version:a2c8e81754ba79dcede4dd55e9638431c4b2ab47024fa2cdcdf71a131b2bc87e

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