Automated respiratory sound analysis addresses critical limitations in traditional clinical auscultation, particularly high inter-observer variability and limited specialist access in resource-constrained settings.
Simboni Simboni Tege +5 more
doaj +1 more source
Vehicle Classification Using Electromagnetic Leakage Signals Based on Feature Fusion and Residual CNN [PDF]
While the classification of electromagnetic (EM) leakage signals from various electronic devices has been explored in recent research, the use of EM leakage signals from vehicles for classification tasks remains relatively underexplored.
Jonghwan Na, Bowon Lee
doaj +1 more source
Identification of voice signals can be used to command a computer system. Identification can be made of voice owner and spoken word. Identification of voice owner is used for security, while spoken word identification is often used to execute command on ...
Munggaran, Angga Kersana +2 more
core
Machine learning approach for detecting Covid-19 from speech signal using Mel frequency magnitude coefficient. [PDF]
Nayak SS, Darji AD, Shah PK.
europepmc +1 more source
IDENTIFICATION AND VERIFICATION OF SPEAKER USING MEL FREQUENCY CEPSTRAL COEFFICIENT
Speech processing is emerged as one of the important application area of digital signal processing. Various fields for research in speech processing are speech recognition, speaker recognition, speech synthesis, speech coding etc.
Viplav Gautam
core
Heart sound classification based on improved mel-frequency spectral coefficients and deep residual learning. [PDF]
Li F, Zhang Z, Wang L, Liu W.
europepmc +1 more source
Palmprint recognition based on Mel frequency Cepstral coefficients feature extraction
Palmprint identification is a measurement of palmprint features for recognizing the identity of a user. Palmprint is universal, easy to capture and it does not change much across time.
Maged M.M. Fahmy, Fahmy, Maged M.M.
core +1 more source
A novel silent speech recognition approach based on parallel inception convolutional neural network and Mel frequency spectral coefficient. [PDF]
Wu J +8 more
europepmc +1 more source
SISTEM PENDETEKSIAN DAN NOTIFIKASI TANGISAN BALITA MENGGUNAKAN MEL FREQUENCY CEPSTRUM COEFFICIENT (MFCC) [PDF]
Pada saat ini banyak sekali kekhawatiran yang dirasakan oleh para orang tua khususnya yang memiliki balita untuk selalu waspada. Tangisan balita merupakan suatu bentuk dari komunikasi yang mengalami suatu masalah.
DAMAR IRAWAN
core
Machine Learning Models for the Diagnosis of Parkinson using Audio Signals
Parkinson's disease is one of the most common neural diseases among the population. An important discomfort that patients experience is related to changes in speech, with an impact on prosody, articulation, and phonation.
Denisa-Gabriela MUSTEATA +1 more
doaj

