Omnizart: A General Toolbox for Automatic Music Transcription

06/01/2021
by   Yu-Te Wu, et al.
13

We present and release Omnizart, a new Python library that provides a streamlined solution to automatic music transcription (AMT). Omnizart encompasses modules that construct the life-cycle of deep learning-based AMT, and is designed for ease of use with a compact command-line interface. To the best of our knowledge, Omnizart is the first transcription toolkit which offers models covering a wide class of instruments ranging from solo, instrument ensembles, percussion instruments to vocal, as well as models for chord recognition and beat/downbeat tracking, two music information retrieval (MIR) tasks highly related to AMT.

READ FULL TEXT

page 1

page 2

page 3

research
04/30/2023

Transfer of knowledge among instruments in automatic music transcription

Automatic music transcription (AMT) is one of the most challenging tasks...
research
01/28/2023

Automated Arrangements of Multi-Part Music for Sets of Monophonic Instruments

Arranging music for a different set of instruments that it was originall...
research
06/25/2018

Frame-level Instrument Recognition by Timbre and Pitch

Instrument recognition is a fundamental task in music information retrie...
research
03/18/2018

ShIFT: A Semi-haptic Interface for Flute Tutoring

Traditional instrument learning is time-consuming. It begins with learni...
research
04/04/2023

A2D: Anywhere Anytime Drumming

The drum kit, which has only been around for around 100 years, is a popu...
research
03/04/2020

ASMD: an automatic framework for compiling multimodal datasets

This paper describes an open-source Python framework for handling datase...
research
03/04/2020

ASMD: an automatic framework for compiling multimodal datasets with audio and scores

This paper describes an open-source Python framework for handling datase...

Please sign up or login with your details

Forgot password? Click here to reset