Results 91 to 100 of about 28,361 (199)

Raga Identification Using Mel Frequency Cepstral Coefficient

International Journal of Innovations in Engineering and Science, 2023
Kavita. S. Patil, Pramod J. Deore, V. S. Kharote   +2 more
openaire   +1 more source

Comparative Study of Spectrogram, Cepstrum and Mel-Frequency Analysis for Bushing Fault Diagnosis using Sound Signal.

This research paper aims to present the Comparative Study of Spectrogram, Cepstrum and Mel-Frequency Analysis for Bushing Fault Diagnosis using Sound Signal, have three case of condition testing for shaded pole motor. This research used shaded pole motor
Thungsuk, N., Tanaram, T., Tati, S.
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MEL frequency cepstral coefficients (MFCC) of original speakers and their imitators

Archives of Acoustics, 2014
The results of intra- and interspeaker distances between MFCC vectors obtained from speech samples of eight well-known Polish personalities and their imitations performed by cabaret entertainers are presented and discussed.
W. Majewski
doaj  

Cochleogram-Based Speech Emotion Recognition with the Cascade of Asymmetric Resonators with Fast-Acting Compression Using Time-Distributed Convolutional Long Short-Term Memory and Support Vector Machines

Biomimetics
Feature extraction is a crucial stage in speech emotion recognition applications, and filter banks with their related statistical functions are widely used for this purpose.
Cevahir Parlak
doaj   +1 more source

High-sensitive state perception method for inverter-fed machine turn insulation based on FrFT-Mel

Global Energy Interconnection
Amidst the swift advancement of new power systems and electric vehicles, inverter-fed machines have progressively materialized as a pivotal apparatus for efficient energy conversion.
Ruitian Fan, Xing Lei, Tao Jia, Menglong Qin, Hao Li, Dawei Xiang   +5 more
doaj   +1 more source

TriSpectraKAN: a novel approach for COPD detection via lung sound analysis

Scientific Reports
This study aims to create an automated, accessible, and cost-effective diagnostic tool for chronic obstructive pulmonary disease (COPD). Traditional diagnostic methods are expensive, time-consuming, and require specialized equipment.
Abhinav Roy, Bhavesh Gyanchandani, Aditya Oza, Anurag Singh   +3 more
doaj   +1 more source

Pengenalan Suara dengan Back Propagation Neural Network dan Ekstraksi Ciri dengan Mel Frequency Cepstrum Coefficient (MFCC)

, 2013
Teknologi pengenalan suara (voice recognition) 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 karena dan ...
Dharmawan, Agus Budi, Lubis, Chairisni
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Speech Emotion Recognition Method Based on Support Vector Machine and Suprasegmental Acoustic Features

Доклады Белорусского государственного университета информатики и радиоэлектроники
The problem of recognizing emotions in a speech signal using mel-frequency cepstral coefficients using a classifier based on the support vector machine has been studied. The RAVDESS data set was used in the experiments.
D. V. Krasnoproshin, M. I. Vashkevich
doaj   +1 more source

Automatic Phoneme Recognition using Mel-Frequency Cepstral Coefficient and Dynamic Time Warping

, 2017
A phoneme recognition process is performed by using the Mel-Frequency Cepstral Coefficient (MFCC) feature extraction technique and an unknown test pattern is compared with the pre-recorded reference pattern by using the Dynamic Time Warping (DTW ...
AHMED, MD SABBIR
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SPEAKER IDENTIFICATION BERGANTUNG TEKS MENGGUNAKAN METODE MEL FREQUENCY CEPSTRUM COEFFICIENT (MFCC) DAN HIDDEN MARKOV MODEL (HMM) [PDF]

, 2019
Biometrik adalah teknologi yang berfungsi mengenali subjek berdasarkan ciri biologisnya. Aspek biologis yang dimanfaatkan dalam biometrik antara lain wajah, sidik jari, iris mata, DNA dan suara.
RICKY LUCKERMAN
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