Results 111 to 120 of about 6,514 (211)

Klasifikasi jenis suara manusia menggunakan algoritma Convolutional Neural Network dengan metode ekstraksi Mel-Frequency Cepstral Coefficients [PDF]

Deteksi jenis suara manusia dalam konteks paduan suara sebagai penggunaan media pembelajaran dengan menggunakan CNN dan MFCC. Penelitian ini bertujuan untuk mengklasifikasi jenis suara manusia sehingga terbaginya ke 4 label yaitu sopran, alto, tenor, dan
Fatah, Muhammad Reza Abdul
core  

Voice Disorder Classification Based on Multitaper Mel Frequency Cepstral Coefficients Features. [PDF]

Comput Math Methods Med, 2015
Eskidere Ö, Gürhanlı A.
europepmc   +1 more source

Detection of Laryngeal Pathologies from Voice using EMD-based Mel-Spectrograms and Scalograms with AlexNet

Measurement Science Review
In this paper, a novel method for detecting of laryngeal pathologies using deep neural networks and time–frequency signal processing techniques is presented.
Cherif Sofiane, Kaddour Abdelhafid, Benkada Abdelmoudjib, Karoui Said   +3 more
doaj   +1 more source

Voice Recognition and Marking Using Mel-frequency Cepstral Coefficients [PDF]

Sensors and Materials, 2020
Sheu, Jia-Shing, Chen, Ching-Wen
openaire   +1 more source

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

Rapid Diagnosis of Distributed Acoustic Sensing Vibration Signals Using Mel-Frequency Cepstral Coefficients and Liquid Neural Networks. [PDF]

Sensors (Basel)
Liu H, Xu Y, Qi Y, Yang H, Bi W.
europepmc   +1 more source

Sistem Pengenal Wicara Menggunakan Mel-Frequency Cepstral Coefficient

Semesta Teknika, 2017
Human-machine interaction evolves toward a more adaptive and interactive system. There are several media that can be used in human-machine interaction systems, such as voice signals. The process includes converting analog signals into the appropriate meaning, which depend on the noise and reliability of signal characteristic extraction methods. In fact,
openaire   +1 more source

Implementation of Mel-Frequency Cepstral Coefficient As Feature Extraction Method On Speech Audio Data

Sounds cannot be directly processed by machines without a feature extraction process being carried out first. Currently, there are so many choices of feature extraction methods that can be used, so determining the right feature extraction method is not ...
Kodong, Frans Richard, Marbun, Andre Julio, Heriyanto   +2 more
core   +2 more sources

Enhanced heart sound classification using Mel frequency cepstral coefficients and comparative analysis of single vs. ensemble classifier strategies. [PDF]

PLoS One
Hosseinzadeh M, Haider A, Malik MH, Adeli M, Mzoughi O, Gemeay E, Mohammadi M, Alinejad-Rokny H, Khoshvaght P, Porntaveetus T, Rahmani AM.   +10 more
europepmc   +1 more source

High accuracy classification of COVID-19 coughs using Mel-frequency cepstral coefficients and a Convolutional Neural Network with a use case for smart home devices 

, 2020
Dunne R, Morris T, Harper S.
europepmc   +1 more source