Music transcription is the process of transforming recorded sound of musical performances
into symbolic representations such as sheet music or MIDI files. Extensive research and …

Automatic Music Transcription (AMT) has been recognized as a key enabling technology
with a wide range of applications. Given the task's complexity, best results have typically …

This paper addresses the extraction of multiple F0 values from polyphonic and a cappella
vocal performances using convolutional neural networks (CNNs). We address the major …

ABSTRACT Automatic Music Transcription (AMT) is an important task in music information
retrieval. Prior work has focused on multiple fundamental frequency estimation (multi-pitch …

Choral singing is a central part of musical cultures across the world, yet many facets of this
widespread form of polyphonic singing are still to be explored. Music information retrieval …

In this paper, we propose a method that uses a combination of the Connectionist Temporal
Classification (CTC) loss and the cross-entropy loss to train a note-level singing transcription …

Choral singing in the soprano, alto, tenor and bass (SATB) format is a widely practiced and
studied art form with significant cultural importance. Despite the popularity of the choral …

We construct a corpus of Japanese a cappella vocal ensembles (ja-Cappella corpus) for
vocal ensemble separation and synthesis. It consists of 35 copyright-cleared vocal …

The piano concerto is a genre of central importance in Western classical music, often
consisting of a virtuoso solo part for piano and an orchestral accompaniment. In this article …

This article describes automatic singing transcription (AST) that estimates a human-readable
musical score of a sung melody represented with quantized pitches and durations from a …