Multiple predominant instrument recognition in polyphonic music is addressed using
decision level fusion of three transformer-based architectures on an ensemble of visual …

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 …

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 …

We propose a complex-domain pitch estimation algorithm for narrowband speech signals,
which utilizes a complex spectrum containing both amplitude and phase spectrum …

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 …

© 2018 International Speech Communication Association. All rights reserved. Most
frequency domain techniques for pitch extraction such as cepstrum, harmonic product …

Automatic identification of lead instruments is a challenging task in the field of music
information retrieval (MIR). In this paper, predominant instrument recognition in polyphonic …