Results 61 to 70 of about 598 (156)
Heart Signal Analysis Using Multistage Classification Denoising Model
Journal of Electrical and Computer Engineering, Volume 2024, Issue 1, 2024.Cardiovascular disease is a major cause of death worldwide, and the COVID‐19 pandemic has only made the situation worse. The purpose of this work is to explore various time‐frequency analysis methods that can be used to classify heart sound signals and identify multiple abnormalities in the heart, such as aortic stenosis, mitral stenosis, and mitral ...
Ravi Raj Choudhary +4 more
wiley +1 more source
IEEE AccessImpulsive acoustic event classification based on spectrogram representations remains challenging due to the non-stationary and broadband characteristics of transient signals.
Pafan Doungpaisan, Peerapol Khunarsa
doaj +1 more source
Results in EngineeringDysarthria, a speech disorder resulting from neurological damage, presents significant challenges in clinical diagnosis and assessment. Traditional methods of dysarthria detection are often time-consuming and require expert interpretation.
Aurobindo S, Prakash R, Rajeshkumar M
doaj +1 more source
Periodotopy in the gerbil inferior colliculus: local clustering rather than a gradient map [PDF]
, 2015 Periodicities in sound waveforms are widespread, and shape important perceptual attributes of sound including rhythm and pitch. Previous studies have indicated that, in the inferior colliculus (IC), a key processing stage in the auditory midbrain ...
Garcia-Lazaro, JA +2 more
core
SAMPLE: a Python Package for the Spectral Analysis of Modal Sounds [PDF]
, 2022 We present SAMPLE, a Python package of tools for spectral analysis and modal parameters estimate. The core of the package is an implementation of the “Spectral Analysis for Modal Parameters Linear Estimate” (SAMPLE) algorithm.
F. Avanzini, M. Tiraboschi
core
Delayed Dynamical Systems: Networks, Chimeras and Reservoir Computing
, 2018 We present a systematic approach to reveal the correspondence between time delay dynamics and networks of coupled oscillators. After early demonstrations of the usefulness of spatio-temporal representations of time-delay system dynamics, extensive ...
Hart, Joseph D. +3 more
core +1 more source
A Binaural Neuromorphic Auditory Sensor for FPGA: A Spike Signal Processing Approach [PDF]
, 2017 This paper presents a new architecture, design flow, and field-programmable gate array (FPGA) implementation analysis of a neuromorphic binaural auditory sensor, designed completely in the spike domain.
Cerezuela Escudero, Elena +6 more
core
Exploring Filterbank Learning for Keyword Spotting
, 2020 Despite their great performance over the years, handcrafted speech features are not necessarily optimal for any particular speech application. Consequently, with greater or lesser success, optimal filterbank learning has been studied for different speech
chollet +7 more
core +1 more source
Cochleagram-based Noise Adapted Speaker Identification System for Distorted Speech
Speaker Identification refers to the process of identifying a person using one's voice from a collection of known speakers. Environmental noise, reverberation and distortion make the task of automatic speaker identification challenging as extracted features get degraded thus affecting the performance of the speaker identification (SID) system.
Ahmed, Sabbir +2 more
openaire +2 more sources
Adaptive mechanisms facilitate robust performance in noise and in reverberation in an auditory categorization model. [PDF]
Commun Biol, 2023 Parida S, Liu ST, Sadagopan S.
europepmc +1 more source