Medycyna Pracy, 2013 Background: Special consideration has recently been given to cepstral analysis with mel-frequency cepstral coefficients (MFCCs). The aim of this study was to assess the applicability of MFCCs in acoustic analysis for diagnosing occupational dysphonia in ...
Ewa Niebudek-Bogusz +3 more
doaj +1 more source
Machine Vision–Based Insect Recognition in Agriculture: A Comprehensive Review
Engineering Reports, Volume 8, Issue 4, April 2026.This study explores machine vision for automated insect recognition in agriculture, leveraging deep learning and IoT integration. The review highlights real‐time pest detection methods, enhancing crop protection with minimal pesticide use. Comparative analysis of classifiers provides insights into performance and future advancements in sustainable ...
Mohammad Monirul Islam +4 more
wiley +1 more source
, 2004 The effectiveness of higher-order spectral (HOS) phase features in speaker recognition is investigated by comparison with Mel Cepstral features on the same speech data.
Sridharan, Subramanian +5 more
core +1 more source
Dysphonia detection based on modulation spectral features and cepstral coefficients [PDF]
, 2010 In this paper, we combine modulation spectral features with mel-frequency cepstral coefficients for automatic detection of dysphonia. For classification purposes, dimensions of the original modulation spectra are reduced using higher or-der singular ...
J. D. Arias-londoño +5 more
core +2 more sources
PEMODELAN SPEECH RECOGNITION SPEECH-TO-TEXT DALAM BAHASA INDONESIA MENGGUNAKAN MEL FREQUENCY CEPSTRAL COEFFICIENTS (MFCC) DAN HIDDEN MARKOV MODEL (HMM) Speech Recognition Modeling Speech-to-Text in Bahasa Using Mel Frequency Cepstral Coefficients (MFCC) a [PDF]
, 2013 ABSTRAKSI: Speech recognition merupakan salah satu teknologi yang mempermudah pekerjaan manusia dalam berinteraksi dengan komputer. Oleh karena itu, penelitian mengenai speech recognition merupakan kunci pengembangan teknologi tersebut.
SITI KHODIJAH F N F
core
Multilingual Speaker Identification by Combining Evidence from LPR and Multitaper MFCC
Journal of Intelligent Systems, 2013 In this work, the significance of combining the evidence from multitaper mel-frequency cepstral coefficients (MFCC), linear prediction residual (LPR), and linear prediction residual phase (LPRP) features for multilingual speaker identification with the ...
Nagaraja B.G., Jayanna H.S.
doaj +1 more source
, 2017 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
Emotion Recognition of Speech Signals Based on Filter Methods [PDF]
Journal of Intelligent Procedures in Electrical Technology, 2016 Speech is the basic mean of communication among human beings.With the increase of transaction between human and machine, necessity of automatic dialogue and removing human factor has been considered.
Narjes Yazdanian, Hamid Mahmoodian
doaj
Voice spoofing detection using a neural networks assembly considering spectrograms and mel frequency cepstral coefficients. [PDF]
PeerJ Comput Sci, 2023 Hernández-Nava CA +5 more
europepmc +1 more source
MEL-FREQUENCY CEPSTRAL COEFFICIENTS (MFCC) FEATURE FOR PUMP ANOMALY DETECTION IN NOISY ENVIRONMENTS
Rekayasa MesinThe continuity of a production process is supported by the availability of good assets. One of the efforts to support asset availability is through asset maintenance. One of the important assets in the industry is the pump. To detect anomalous conditions
Anindita Adikaputri Vinaya +1 more
doaj +1 more source