Modulation spectral features: In pursuit of invariant representations of music with application to unsupervised source identification

NH Sephus, AD Lanterman… - Journal of New Music …, 2015 - Taylor & Francis
Modulation frequency analysis has been studied predominantly in research areas such as
communications, filtering and coding of digital signals, and representations of neurons in the …

A novel approach to identify problematic call center conversations

MA Pandharipande… - 2012 Ninth International …, 2012 - ieeexplore.ieee.org
Voice based call centers enable customers to query for information by speaking to agents in
the call center. Most often these call conversations are recorded for analysis with the intent …

Exploring frequency modulation features and resolution in the modulation spectrum

NH Sephus, AD Lanterman… - 2013 IEEE Digital Signal …, 2013 - ieeexplore.ieee.org
Modulation frequency features have shown promise in representing distinguishing
characteristics of audio signals. The modulation spectrum, which is described as an acoustic …

AM-FM modulation features for music instrument signal analysis and recognition

A Zlatintsi, P Maragos - 2012 Proceedings of the 20th …, 2012 - ieeexplore.ieee.org
In this paper, we explore a nonlinear AM-FM model to extract alternative features for music
instrument recognition tasks. Amplitude and frequency micro-modulations are measured in …

Enhancement of conventional beat tracking system using Teager–Kaiser energy operator

M Istvanek, Z Smekal, L Spurny, J Mekyska - Applied Sciences, 2020 - mdpi.com
Beat detection systems are widely used in the music information retrieval (MIR) research
field for the computation of tempo and beat time positions in audio signals. One of the most …

Επεξεργασία σημάτων μουσικής και εφαρμογές αναγνώρισης

ΑΧ Ζλατίντση - 2014 - dspace.lib.ntua.gr
Η διδακτορική αυτή έρευνα ασχολείται με το ϑέμα της ψηφιακής επεξεργασίας μουσικών
σημάτων και την ανάλυσή τους με υπολογιστικές μεθόδους με στόχο την εξαγωγή χρήσιμης …

On multi-aspect classification of music data

R Sarkar - 2019 - 20.198.91.3
Automated classification of music signal is an active area of research. It can act as the
fundamental step for various applications like archival, indexing and retrieval of music data …

Voice Analytics Process

SK Kopparapu, SK Kopparapu - Non-Linguistic Analysis of Call Center …, 2015 - Springer
Voice Analytics Process | SpringerLink Skip to main content Advertisement SpringerLink
Account Menu Find a journal Publish with us Track your research Search Cart Book cover …

A framework for exploiting modulation spectral features in music data mining and other applications

NH Sephus - 2014 - repository.gatech.edu
When a signal is decomposed into frequency bands, demodulated into modulator and
carrier pairs, and portrayed in a carrier frequency-versus modulator frequency domain …