3 citations · 3 across the 7 of their papers we have counts for
7 papers
A Dual Evaluation for Music Transcription
Ping Wang, Guang Yang, Nazif Can Tamer +2
Automatic music transcription systems produce sheet music that can be read and played back. We argue that these two targets call for complementary evaluations of notation similarit…
Rubato: Transcribing Piano Music with Timestamps
Nazif Can Tamer, Victoria Ebert, Guang Yang +1
We consider the conversion of musical recordings into human-readable sheet music annotated with timestamps. Such output lets a listener clearly visualize rubato (temporally express…
BASS: Benchmarking Audio LMs for Musical Structure and Semantic Reasoning
Min Jang, Orevaoghene Ahia, Nazif Tamer +3
Music understanding is a complex task that often requires reasoning over both structural and semantic elements of audio. We introduce BASS, designed to evaluate music understanding…
LEGATO: Large-scale End-to-end Generalizable Approach to Typeset OMR
Guang Yang, Victoria Ebert, Nazif Tamer +5
We propose Legato, a new end-to-end model for optical music recognition (OMR), a task of converting music score images to machine-readable documents. Legato is the first large-scal…
Automatic Estimation of Singing Voice Musical Dynamics
Jyoti Narang, Nazif Can Tamer, Viviana De La Vega +1
Musical dynamics form a core part of expressive singing voice performances. However, automatic analysis of musical dynamics for singing voice has received limited attention partly…
Combining piano performance dimensions for score difficulty classification
Pedro Ramoneda, Dasaem Jeong, Vsevolod Eremenko +3
Predicting the difficulty of playing a musical score is essential for structuring and exploring score collections. Despite its importance for music education, the automatic difficu…
Score difficulty analysis for piano performance education based on fingering
Pedro Ramoneda, Nazif Can Tamer, Vsevolod Eremenko +2
In this paper, we introduce score difficulty classification as a sub-task of music information retrieval (MIR), which may be used in music education technologies, for personalised…