Results 121 to 130 of about 8,304 (223)

VERIFIKASI BIOMETRIKA SUARA MENGGUNAKAN METODE MFCC DAN DTW

, 2012
Teknologi pengenalan suara merupakan salah satu teknologi biometrika yang tidak memerlukan biaya besar serta peralatan khusus. Suara merupakan salah satu dari bagian tubuh manusia yang unik dan dapat dibedakan dengan mudah.
Darma Putra, Adi Resmawan
core  

Optimization of band-pass filters in MFCC with respect to clusters of speakers

, 2012
V této bakalářské práci se zabýváme problematikou parametrizace řečového signálu pomocí různých způsobů modifikace metody Melovských kepstrálních koeficientů(MFCC) v procesu rozpoznávání řeči s ohledem na množiny řečníků.
Jarolín, Milan
core  

A lightweight hybrid attention network with multi-scale feature integration for intelligent recognition of underwater acoustic targets. [PDF]

Sci Rep
Mahmud NA, Zhang T, Iqbal Y, Sumona FB, Iqbal A, Geng Y, Khan W, Zneid BA, Zaitsev I.   +8 more
europepmc   +1 more source

Machine Learning Approaches to Early Detection of Parkinson's Disease Using Speech Analysis Technique. [PDF]

Neurol Int
Hossain MA, Traini E, Amenta F.
europepmc   +1 more source

The MFCC-ROBIN in the DAQ/EF -1 Project

, 2000
This is a description of the software and firmware developedfor the MFCC ...
Francis, D, Petersen, J, Joos, M, Veneziano, Stefano   +3 more
core  

Advancing insect monitoring: analysis of mel-frequency cepstral coefficients from optical signals for body orientation estimation. [PDF]

Appl Phys B
Saha T, Thomas BP.
europepmc   +1 more source

Advancing cardiovascular screening: deep learning-based heart-sound classification using SMOTE and temporal modeling. [PDF]

Sci Rep
Ameen A, Eldesouky Fattoh I, Abd El-Hafeez T, Ahmed K.   +3 more
europepmc   +1 more source

Speech Recognition with an fMRISNN Constrained by Human Functional Brain Networks: A Study of Enhanced MFCC-Driven Sparse Spike Encoding. [PDF]

Biomimetics (Basel)
Guo L, Ma N, Wang Z, Liu R.
europepmc   +1 more source

EEG affect analysis based on KDE and MFCC

, 2012
Classifying emotions based on the affective states of valence and arousal captured from brain discharge remains a challenge. The selection of the most efficient and reliable method of feature extraction forms a very important problem of EEG signal ...
Othman, Marini, Yaacob, Hamwira Sakti, Hamal, Abdul Qayoom, Abdul Rahman, Abdul Wahab   +3 more
core  

Speech impairment detection in children using time frequency features of speech and deep learning techniques. [PDF]

Front Hum Neurosci
Manoswini M, Swain BR, Sahoo B, Gourisaria MK, Jha AV, Bizon N, Swetapadma A.   +6 more
europepmc   +1 more source