Music information retrieval (MIR) has witnessed rapid advances in various tasks like musical
similarity, music genre classification (MGC), etc. MGC and audio tagging are approached …

Much work is focused upon music genre recognition (MGR) from audio recordings, symbolic
data, and other modalities. While reviews have been written of some of this work before, no …

This paper presents the automatic genre classification of Indian Tamil music and western
music using timbral features and fractional Fourier transform (FrFT) based Mel frequency …

Automatic genre classification from audio has been an area of active research due to its
importance in music information retrieval systems. India is a multilingual and multi cultural …

We present melody based classification of musical styles by exploiting pitch and energy
based characteristics computed on the audio signal. Three prominent musical styles were …

Since music conveys as well as evokes a wealth of emotions in a listener, there has been
tremendous research and commercial development to automatically organize music using …

This paper presents the Automatic Genre Classification of Indian Tamil Music and Western
Music using Timbral and Fractional Fourier Transform (FrFT) based Mel Frequency Cepstral …

The main aim of the research is to employ Music genre prediction based classification of
audio files with low level feature of frequency domain and time domain using Novel Support …

In the present-day scenario, most of the things are getting digitized. Music being one of the
most celebrated art types is learnt by sundry people and taught by several musicians. Thus …

Widespread production and consumption of digital-ized music has given rise to active
research and development of music recommender systems. Music choices are highly …