MusicGen Remixer

Remix the music into another styles with MusicGen Chord

MusicGen Remixer is an app based on MusicGen Chord. Users can upload a music track with vocals, type in the text description prompt, and the app will create a new background track based on the input and then make a remixed music output. This Jupyter notebook breaks down the process of MusicGen Remixer, by calling separate Replicate API calls and processing the outputs of the API calls.

Installation

Requirements

Works on Python>=3.8 && <3.11.

pip install -r requirements.txt

Replicate API Token Login

To call the APIs from Replicate, you must login to Replicate after installing replicate python package with pip. You can find your Replicate API tokens here.

export REPLICATE_API_TOKEN=<your token>

Run

Python on Command Line

python musicgen_remixer.py --prompt="bossa nova" --audio_path=/path/to/your/audio/input.mp3

Arguments

• --prompt : The prompt to use for generating the remix.
• --audio_path : The path to the audio file to remix.
• --model_version : The version of the model to use for generating the remix.
  • Default : chord
  • Options : [chord, chord-large, stereo-chord, stereo-chord-large]
• --beat_sync_threshold : The threshold for beat synchronization. If None, beat synchronization is automatically set to 1.1/(bpm/60).
  • Default : None
• --upscale : Whether to upscale the audio to 48 kHz. (boolean Flag)
  • Default : False
• --mix_weight : The weight for the generated instrumental track when mixing with the vocal.(0~1)
  • Default : 0.7
• --output_path : The path to save the output audio file.
  • Default : output

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References

• Chord recognition from audio file is performed using BTC model, by Jonggwon Park.
  • Paper : A Bi-Directional Transformer for Musical Chord Recognition
• Vocal dropping is implemented using Meta's demucs.
• Downbeat tracking and BPM retrieval is perfromed using All-In-One Music Structure Analyzer by Taejun Kim.
  • Paper : All-In-One Metrical And Functional Structure Analysis With Neighborhood Attentions on Demixed Audio
• Beat-syncing is performed with PyTSMod by MAC Lab @KAIST

Licenses

• All code in this repository is licensed under the Apache License 2.0 license.