This paper presents a thorough review of methods used in various research articles
published in the field of time signature estimation and detection from 2003 to the present …

Automatic music recommendation systems based on human emotions are becoming
popular nowadays. Since audio and lyrics can provide a rich set of information regarding a …

A characteristic aspect of the Syrian tradition's musical repertoire is classifying melodies into
eight tunes, called 'oktoec̄hos'. It had an impact on a lot of traditions, including the liturgical …

Group delay processing of audio signals has been extensively studied in the last decade. In
this paper, tonic estimation in Turkish makam music is addressed using modified group …

In this paper, a deep neural network (DNN)-based poetic meter classification scheme is
proposed using a fusion of musical texture features (MTF) and i-vectors. The experiment is …

The application of machine learning technology to intelligent music creation has become a
very important field in music creation. The main current research on music intelligent …

A distinguishing feature of the music repertoire of the Syrian tradition is the system of
classifying melodies into eight tunes, called'oktoechos'. It inspired many traditions, such as …

The availability of appropriate research corpora is a fundamental concern in music
information retrieval research. This paper addresses the design, development, and …

This paper introduces a structural classification scheme for folk music using a multimodal
fusion of musical features and textual information. A data corpus of Thiruvathirakali music (a …

Automatic music recommendation systems based on human emotions are becoming
popular nowadays. Since audio and lyrics can provide a rich set of information regarding a …