Results 41 to 50 of about 246,748 (291)

Audio-visual object localization and separation using low-rank and sparsity [PDF]

open access: yes, 2017
The ability to localize visual objects that are associated with an audio source and at the same time seperate the audio signal is a corner stone in several audio-visual signal processing applications.
Panagakis, Yannis   +3 more
core   +3 more sources

Lived and Care Experiences of Chronic Musculoskeletal Shoulder Pain in Australian Adults: A Qualitative Study

open access: yesArthritis Care &Research, EarlyView.
Objective Australian evidence on lived and care experiences of chronic musculoskeletal shoulder pain (CMSP), irrespective of disorder classification or disease, is limited. However, such evidence is important for person‐centered care and informing local service pathways and care guidelines or standards.
Sonia Ranelli   +8 more
wiley   +1 more source

A Generative Product-of-Filters Model of Audio [PDF]

open access: yes, 2014
We propose the product-of-filters (PoF) model, a generative model that decomposes audio spectra as sparse linear combinations of "filters" in the log-spectral domain.
Hoffman, Matthew D.   +2 more
core  

Practical Hidden Voice Attacks against Speech and Speaker Recognition Systems

open access: yes, 2019
Voice Processing Systems (VPSes), now widely deployed, have been made significantly more accurate through the application of recent advances in machine learning.
Abdullah, Hadi   +5 more
core   +1 more source

Digital behavioral therapy improves outcome in patients with axial spondyloarthritis and persistent pain: a randomized controlled trial

open access: yesArthritis Care &Research, Accepted Article.
Objectives Axial spondyloarthritis (axSpA) is often associated with persistent pain despite effective anti‐inflammatory treatment. Digital health applications (DHA) provide innovative approaches to address multidimensional aspects of persistent pain through psychological and behavioral strategies. The aim of this study was to assess the impact of a DHA
David Kiefer   +7 more
wiley   +1 more source

Point neuron learning: a new physics-informed neural network architecture

open access: yesEURASIP Journal on Audio, Speech, and Music Processing
Machine learning and neural networks have advanced numerous research domains, but challenges such as large training data requirements and inconsistent model performance hinder their application in certain scientific problems. To overcome these challenges,
Hanwen Bi, Thushara D. Abhayapala
doaj   +1 more source

A Novel Dentary Bone Conduction Device Equipped with Laser Communication in DSP

open access: yesSensors, 2021
In this study, we designed a dentary bone conduction system that transmits and receives audio by laser. The main objective of this research was to propose a complete hardware design method, including a laser audio transmitter and receiver and digital ...
Jau-Woei Perng   +2 more
doaj   +1 more source

On the Mathematics of Music: From Chords to Fourier Analysis [PDF]

open access: yes, 2013
Mathematics is a far reaching discipline and its tools appear in many applications. In this paper we discuss its role in music and signal processing by revisiting the use of mathematics in algorithms that can extract chord information from recorded music.
Lenssen, Nathan, Needell, Deanna
core  

Robust high-capacity audio watermarking based on FFT amplitude modification [PDF]

open access: yes, 2010
This paper proposes a novel robust audio watermarking algorithm to embed data and extract it in a bit-exact manner based on changing the magnitudes of the FFT spectrum.
Fallahpour Reza, Mehdi   +1 more
core   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva   +4 more
wiley   +1 more source

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