A review of physical and perceptual feature extraction techniques for speech, music and environmental sounds
Endowing machines with sensing capabilities similar to those of humans is a prevalent
quest in engineering and computer science. In the pursuit of making computers sense their …
quest in engineering and computer science. In the pursuit of making computers sense their …
[HTML][HTML] Bio-acoustic features of depression: A review
SA Almaghrabi, SR Clark, M Baumert - Biomedical Signal Processing and …, 2023 - Elsevier
Speech carries essential information about the speaker's physiology and possible
pathophysiological conditions. Bio-acoustic voice qualities show promising value for …
pathophysiological conditions. Bio-acoustic voice qualities show promising value for …
Trends in audio signal feature extraction methods
Audio signal processing algorithms generally involves analysis of signal, extracting its
properties, predicting its behaviour, recognizing if any pattern is present in the signal, and …
properties, predicting its behaviour, recognizing if any pattern is present in the signal, and …
Power-normalized cepstral coefficients (PNCC) for robust speech recognition
This paper presents a new feature extraction algorithm called power normalized Cepstral
coefficients (PNCC) that is motivated by auditory processing. Major new features of PNCC …
coefficients (PNCC) that is motivated by auditory processing. Major new features of PNCC …
In-situ crack and keyhole pore detection in laser directed energy deposition through acoustic signal and deep learning
Cracks and keyhole pores are detrimental defects in alloys produced by laser directed
energy deposition (LDED). Laser-material interaction sound may hold information about …
energy deposition (LDED). Laser-material interaction sound may hold information about …
Applying machine learning techniques to transportation mode recognition using mobile phone sensor data
This paper adopts different supervised learning methods from the field of machine learning
to develop multiclass classifiers that identify the transportation mode, including driving a car …
to develop multiclass classifiers that identify the transportation mode, including driving a car …
Features for content-based audio retrieval
Today, a large number of audio features exists in audio retrieval for different purposes, such
as automatic speech recognition, music information retrieval, audio segmentation, and …
as automatic speech recognition, music information retrieval, audio segmentation, and …
An intelligent neuromarketing system for predicting consumers' future choice from electroencephalography signals
Abstract Neuromarketing utilizes Brain-Computer Interface (BCI) technologies to provide
insight into consumers responses on marketing stimuli. In order to achieve insight …
insight into consumers responses on marketing stimuli. In order to achieve insight …
Signal quality and patient experience with wearable devices for epilepsy management
Noninvasive wearable devices have great potential to aid the management of epilepsy, but
these devices must have robust signal quality, and patients must be willing to wear them for …
these devices must have robust signal quality, and patients must be willing to wear them for …
BCI-based consumers' choice prediction from EEG signals: an intelligent neuromarketing framework
Neuromarketing relies on Brain Computer Interface (BCI) technology to gain insight into how
customers react to marketing stimuli. Marketers spend about $750 billion annually on …
customers react to marketing stimuli. Marketers spend about $750 billion annually on …