Tonic is one of the basic concepts in music. The tonic pitch is normally entrenched by the
main performers, depending on their vocal range and the range of the accompanying …

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 …

Deep Recurrent Neural Networks (DRNNs) have been most successfully used in solving the
challenging task of separating sources from a single channel acoustic mixture …

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

Modified group delay functions are beginning to gain significance in the literature for formant
estimation, speaker recognition and speech recognition. In particular, group delay functions …

This paper provides a new insight into the high resolution property of the negative derivative
of the phase response of a system. Group delay functions have been proposed and applied …

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 …

Poems, which communicate through rhythm and its apparent meaning have a vital role in
any literary. Meter, a set of well defined rules gives rhythm to the poetry. In this paper, a …