Automatic music transcription is considered by many to be a key enabling technology in
music signal processing. However, the performance of transcription systems is still …

Multi-instrument automatic music transcription (AMT) is a critical but less investigated
problem in the field of music information retrieval (MIR). With all the difficulties faced by …

Motivation Scientists increasingly rely on intelligent information systems to help them in their
daily tasks, in particular for managing research objects, like publications or datasets. The …

The main objective of this paper is to review the technologies and models used in the
Automatic music transcription system. Music Information Retrieval is a key problem in the …

In this paper, we propose an efficient model for automatic transcription of polyphonic music.
The model extends the shift-invariant probabilistic latent component analysis method and …

A method is described for musical instrument recognition in polyphonic audio signals where
several sound sources are active at the same time. The proposed method is based on local …

Neural Audio-to-Score (A2S) Music Transcription systems have shown promising results
with pieces containing a fixed number of voices. However, they still exhibit fundamental …

This paper presents a new way to understand how deep neural networks (DNNs) work by
applying homomorphic signal processing techniques. Focusing on the task of multi-pitch …

Music lessons are a repetitive process of giving feedback on a student's performance
techniques. The manner in which performance skills are improved depends on the particular …

Automatic music transcription (AMT) can be performed by deriving a pitch-time
representation through decomposition of a spectrogram with a dictionary of pitch-labelled …