Skip to main content

Omniscient Mozart, being able to transcribe everything in the music.

Project description

OMNIZART

build docs PyPI version PyPI - License PyPI - Downloads Docker Pulls

Omnizart is a Python library that aims for democratizing automatic music transcription. Given polyphonic music, it is able to transcribe pitched instruments, vocal melody, chords, drum events, and beat. This is powered by the research outcomes from Music and Culture Technology (MCT) Lab.

Transcribe your favorite songs now in Colab! Open In Colab

Quick start

Visit the complete document for detailed guidance.

Pip

# Install omnizart
pip install omnizart

# Download the checkpoints
omnizart download-checkpoints

# Transcribe your songs
omnizart drum transcribe <path/to/audio.wav>
omnizart chord transcribe <path/to/audio.wav>
omnizart music transcribe <path/to/audio.wav>

Docker

docker pull mctlab/omnizart:latest
docker run -it mctlab/omnizart:latest bash

Supported applications

Application Transcription Training Evaluation Description
music :heavy_check_mark: :heavy_check_mark: Transcribe musical notes of pitched instruments.
drum :heavy_check_mark: :interrobang: Transcribe events of percussive instruments.
vocal :heavy_check_mark: :heavy_check_mark: Transcribe note-level vocal melody.
vocal-contour :heavy_check_mark: :heavy_check_mark: Transcribe frame-level vocal melody (F0).
chord :heavy_check_mark: :heavy_check_mark: Transcribe chord progressions.
beat Transcribe beat position.

NOTES The current implementation for the drum model has unknown bugs, preventing loss convergence when training from scratch. Fortunately, you can still enjoy drum transcription with the provided checkpoints.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

omnizart-0.2.0.tar.gz (3.5 MB view details)

Uploaded Source

Built Distribution

omnizart-0.2.0-py3-none-any.whl (3.5 MB view details)

Uploaded Python 3

File details

Details for the file omnizart-0.2.0.tar.gz.

File metadata

  • Download URL: omnizart-0.2.0.tar.gz
  • Upload date:
  • Size: 3.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.4 CPython/3.7.9 Linux/5.4.0-1031-azure

File hashes

Hashes for omnizart-0.2.0.tar.gz
Algorithm Hash digest
SHA256 b5a9420c8f3b5112ffafa40ab3417aee8f8a6a2460f9de3f2434506dd481142f
MD5 3c67e4b3888396203529643bd0745fea
BLAKE2b-256 a45ad9d8565d314475d001ccce4ad5c4da7230ee37828c0fe5b2acdc2348f0d3

See more details on using hashes here.

File details

Details for the file omnizart-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: omnizart-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 3.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.4 CPython/3.7.9 Linux/5.4.0-1031-azure

File hashes

Hashes for omnizart-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 ddd2de363c0dfda7e088f6afed5d6b33ab963f163a18c94ca1001b118ab9c001
MD5 98fcb2209e4437090ce905eae0896b1c
BLAKE2b-256 b501edd4775c8d49bdfec0f0a743b27aee80a1fe69fb6b18a5dfa0997faa03bb

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page