Music is the most convenient and easy-to-use stress release tool in modern times. Many
studies have shown that listening to appropriate music can release stress. However, since it …

In recent years, the complexity of music production has gradually decreased results in many
people create music and upload their created music to streaming media. The huge music …

Music regional classification, which is an important branch of music automatic classification,
aims at classifying folk songs according to different regional style. Chinese folk songs have …

Bird call recognition using deep neural network-hidden Markov model (DNN-HMM)-based
transcription is proposed. The work is an attempt to adapt the human speech recognition …

In this paper, the predominant instrument recognition in polyphonic music is addressed
using timbral descriptors in three frameworks-Gaussian mixture model (GMM), deep neural …

Music genre classification is an important branch of content-based music signal analysis. It
is a challenging task in the field of music information retrieval (MIR). At present, the method …

Identification of multiple predominant instruments in polyphonic music is addressed using
convolutional neural networks (CNN) through Mel-spectrogram, modgd-gram, and its fusion …

A vital aspect of Indian classical music (ICM) is rāga, which serves as a melodic framework
for compositions and improvisations for both traditions of classical music. In this work, we …

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 …

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 …