Envelope harmonic-to-noise ratio for periodic impulses detection and its application to bearing diagnosis
Rolling element bearings are one of the fundamental and most important elements in
machines and their failures are among the foremost frequent causes of machine breakdown …
machines and their failures are among the foremost frequent causes of machine breakdown …
Influences of fundamental frequency, formant frequencies, aperiodicity, and spectrum level on the perception of voice gender
VG Skuk, SR Schweinberger - 2014 - ASHA
Purpose To determine the relative importance of acoustic parameters (fundamental
frequency [F0], formant frequencies [FFs], aperiodicity, and spectrum level [SL]) on voice …
frequency [F0], formant frequencies [FFs], aperiodicity, and spectrum level [SL]) on voice …
Phoneme representation and classification in primary auditory cortex
A controversial issue in neurolinguistics is whether basic neural auditory representations
found in many animals can account for human perception of speech. This question was …
found in many animals can account for human perception of speech. This question was …
Envelope harmonic noise ratio based adaptive kurtogram and its application in bearing compound fault identification
W Wu, C Yi, J Bai, Y Huang, J Lin - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Fast kurtogram (FK) is an effective tool in fault diagnosis, but it still has two defects. Firstly, its
indicator is easy to be affected by the random impact. Secondly, its fixed frequency band …
indicator is easy to be affected by the random impact. Secondly, its fixed frequency band …
Sparse maximum harmonics-to-noise-ratio deconvolution for weak fault signature detection in bearings
De-noising and enhancement of the weak fault signature from the noisy signal are crucial for
fault diagnosis, as features are often very weak and masked by the background noise …
fault diagnosis, as features are often very weak and masked by the background noise …
A novel framework of change-point detection for machine monitoring
G Lu, Y Zhou, C Lu, X Li - Mechanical Systems and Signal Processing, 2017 - Elsevier
The need for automatic machine monitoring has been well known in industries for many
years. Although it has been widely accepted that a change in the structural property can …
years. Although it has been widely accepted that a change in the structural property can …
Improved automatic detection of creak
This paper describes a new algorithm for automatically detecting creak in speech signals.
Detection is made by utilising two new acoustic parameters which are designed to …
Detection is made by utilising two new acoustic parameters which are designed to …
[PDF][PDF] Extended Study on the Use of Vocal Tract Variables to Quantify Neuromotor Coordination in Depression.
Abstract Changes in speech production that occur as a result of psychomotor slowing, a key
feature of Major Depressive Disorder (MDD), are used to non-invasively diagnose MDD. In …
feature of Major Depressive Disorder (MDD), are used to non-invasively diagnose MDD. In …
[PDF][PDF] Using periodic energy to enrich acoustic representations of pitch in speech: A demonstration
A Albert, F Cangemi, M Grice - Proceedings Speech …, 2018 - philtypo3.uni-koeln.de
This paper aims to strengthen the link between acoustic and perceptual representations of
intonation, a link that has been weakened by the over-reliance on the F0 trajectory, which …
intonation, a link that has been weakened by the over-reliance on the F0 trajectory, which …
Noise detection during heart sound recording using periodicity signatures
Heart sound is a valuable biosignal for diagnosis of a large set of cardiac diseases. Ambient
and physiological noise interference is one of the most usual and highly probable incidents …
and physiological noise interference is one of the most usual and highly probable incidents …