Results 81 to 90 of about 8,304 (223)
JFA based Speaker Recognition using Delta-Phase and MFCC features
, 2012 This paper investigates the use of mel-frequency deltaphase (MFDP) features in comparison to, and in fusion with, traditional mel-frequency cepstral coefficient (MFCC) features within joint factor analysis (JFA) speaker verification.
Kanagasundaram, Ahilan +2 more
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Annals of Neurology, Volume 99, Issue 4, Page 935-948, April 2026.Objective This 24‐month longitudinal study involving isolated rapid eye movement sleep behavior disorder (iRBD), early‐stage Parkinson's disease (PD), and matched healthy control subjects aimed to assess whether acoustic speech features from real‐world smartphone calls provide passive progressive biomarkers in synucleinopathies.
Michal Šimek +11 more
wiley +1 more source
Hybrid Mfcc And Lpc For Stuttering Assessment Using Neural Network [PDF]
, 2016 Stuttering is characterized by disfluencies, which disrupt the flow of speech. Traditional way of stuttering assessment is time consuming. The stuttering assessment results always inconsistent between different judges, because human perception on the ...
Choo , Chian Choong
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0.08mm² 128nW MFCC engine for ultra-low power, always-on smart sensing applications
, 2022 Mel frequency cepstral coefficient (MFCC) features are widely used in applications such as keyword spotting, bearing fault detection and heart sound classification.
Chong, Yi Sheng +4 more
core +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
Gong-kuang zidonghua, 2013 In view of problems that γ ray method is not suitable for working face with no or little radioactive elements in roof and radar detection method has little detection range and serious signal attenuation which were used in current coal and gangue ...
HE Ai-xiang +3 more
doaj
Bidirectional deep architecture for Arabic speech recognition
Open Computer Science, 2019 Nowadays, the real life constraints necessitates controlling modern machines using human intervention by means of sensorial organs. The voice is one of the human senses that can control/monitor modern interfaces.
Zerari Naima +3 more
doaj +1 more source
Formant prediction from MFCC vectors
, 2004 This work proposes a novel method of predicting formant frequencies from a stream of mel-frequency cepstral coefficients (MFCC) feature vectors. Prediction is based on modelling the joint density of MFCC vectors and formant vectors using a Gaussian ...
Darch, Jonathan, Milner, B.P., Shao, X.
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Gaussian Mixture Model Based Classification of Stuttering Dysfluencies
Journal of Intelligent Systems, 2016 The classification of dysfluencies is one of the important steps in objective measurement of stuttering disorder. In this work, the focus is on investigating the applicability of automatic speaker recognition (ASR) method for stuttering dysfluency ...
Mahesha P., Vinod D.S.
doaj +1 more source
COMPARISON OF DIFFERENT IMPLEMENTATIONS OF MFCC
, 2008 The performance of the Mel-Frequency Cepstrum Coefficients (MFCC) may be affected by (1) the number of filters, (2) the shape of filters, (3) the way that filters are spaced, and (4) the way that the power spectrum is warped.
Fang Zheng (郑方 +2 more
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