This textbook provides both profound technological knowledge and a comprehensive
treatment of essential topics in music processing and music information retrieval. Including …

In this overview article, we review research on the task of Automatic Chord Estimation (ACE).
The major contributions from the last 14 years of research are summarized, with detailed …

In this paper, we present an audio chord recognition system based on a recurrent neural
network. The audio features are obtained from a deep neural network optimized with a …

The textbook provides both profound technological knowledge and a comprehensive
treatment of essential topics in music processing and music information retrieval (MIR) …

Automatic chord recognition systems operating in the large-vocabulary regime must
overcome data scarcity: certain classes occur much less frequently than others, and this …

In order to improve the effect of modern music teaching, this paper builds an intelligent
music teaching system based on machine learning and SVM algorithm, innovates the music …

Previous works on chord recognition mainly focus on chord symbols but overlook other
essential features that matter in musical harmony. To tackle the functional harmony …

Automatic music transcription is considered to be one of the hardest problems in music
information retrieval, yet recent deep learning approaches have achieved substantial …

Resum In 1999, Fujishima published Realtime Chord Recognition of Musical Sound: a
System using Common Lisp Music. This paper kickstarted an active research topic that has …

We introduce the Audio Degradation Toolbox (ADT) for the controlled degradation of audio
signals, and propose its usage as a means of evaluating and comparing the robustness of …