Empirical mode decomposition for adaptive AM-FM analysis of speech: A review
This work reviews the advancements in the non-conventional analysis of speech signals,
particularly from an AM-FM analysis point of view. The benefits of such an analysis, as …
particularly from an AM-FM analysis point of view. The benefits of such an analysis, as …
Parkinson disease prediction using intrinsic mode function based features from speech signal
Parkinson's disease (PD) is a progressive neurological disorder prevalent in old age. Past
studies have shown that speech can be used as an early marker for identification of PD. It …
studies have shown that speech can be used as an early marker for identification of PD. It …
Pathological speech signal analysis and classification using empirical mode decomposition
M Kaleem, B Ghoraani, A Guergachi… - Medical & biological …, 2013 - Springer
Automated classification of normal and pathological speech signals can provide an
objective and accurate mechanism for pathological speech diagnosis, and is an active area …
objective and accurate mechanism for pathological speech diagnosis, and is an active area …
Replay spoof detection for speaker verification system using magnitude-phase-instantaneous frequency and energy features
KP Bharath, MR Kumar - Multimedia Tools and Applications, 2022 - Springer
Spoofing attack detection is one of the essential components in automatic speaker
verification (ASV) systems. The success of\ASV-2015 shows a great perspective by …
verification (ASV) systems. The success of\ASV-2015 shows a great perspective by …
Analysis of the Hilbert spectrum for text-dependent speaker verification
This work explores the utility of the Hilbert Spectrum (HS) of the speech signal, constructed
from its AM-FM components, or Intrinsic Mode Functions (IMFs), in characterizing speakers …
from its AM-FM components, or Intrinsic Mode Functions (IMFs), in characterizing speakers …
Analysis of the intrinsic mode functions for speaker information
This work explores the utility of the time-domain signal components, or the Intrinsic Mode
Functions (IMFs), of speech signals', as generated from the data-adaptive filterbank nature of …
Functions (IMFs), of speech signals', as generated from the data-adaptive filterbank nature of …
Harmonic differences method for robust fundamental frequency detection in wideband and narrowband speech signals
In this article, a novel pitch determination algorithm based on harmonic differences method
(HDM) is proposed. Most of the algorithms today rely on autocorrelation, cepstrum, and lastly …
(HDM) is proposed. Most of the algorithms today rely on autocorrelation, cepstrum, and lastly …
[图书][B] Phoneme-based speech segmentation using hybrid soft computing framework
Speech is a naturally occuring nonstationary signal essential not only for personto-person
communication but has become an important aspect of Human Computer Interaction (HCI) …
communication but has become an important aspect of Human Computer Interaction (HCI) …
Pathological voice analysis and classification based on empirical mode decomposition
Empirical mode decomposition (EMD) is an algorithm for signal analysis recently introduced
by Huang. It is a completely datadriven non-linear method for the decomposition of a signal …
by Huang. It is a completely datadriven non-linear method for the decomposition of a signal …
Evoked hemodynamic response estimation using ensemble empirical mode decomposition based adaptive algorithm applied to dual channel functional near infrared …
Background The quality of the functional near infrared spectroscopy (fNIRS) recordings is
highly degraded by the presence of physiological interferences. It is crucial to efficiently …
highly degraded by the presence of physiological interferences. It is crucial to efficiently …