Normal distribution analysis (mean±std) of the combined mel-frequency cepstral coefficients (MFCCs) using the deep breathing dataset. [PDF]
, 2022 Normal distribution analysis (mean±std) of the combined mel-frequency cepstral coefficients (MFCCs) using the deep breathing dataset.
Mohanad Alkhodari (11944473) +1 more
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Linear versus mel frequency cepstral coefficients for speaker recognition [PDF]
2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011 Mel-frequency cepstral coefficients (MFCC) have been dominantly used in speaker recognition as well as in speech recognition. However, based on theories in speech production, some speaker characteristics associated with the structure of the vocal tract, particularly the vocal tract length, are reflected more in the high frequency range of speech.
Xinhui Zhou +4 more
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Classifying Heart-Sound Signals Based on CNN Trained on MelSpectrum and Log-MelSpectrum Features
Bioengineering, 2023 The intelligent classification of heart-sound signals can assist clinicians in the rapid diagnosis of cardiovascular diseases. Mel-frequency cepstral coefficients (MelSpectrums) and log Mel-frequency cepstral coefficients (Log-MelSpectrums) based on a ...
Wei Chen +8 more
doaj +1 more source
Feature extraction method for reflective sound signal of high pressure water-jet target
Gong-kuang zidonghua, 2014 In order to improve recognition rate of target materials by using reflective sound signal of high pressure water-jet, in view of four common targets of mine, stone, brick and wood block, different feature extraction methods were used to identify target ...
SUN Shuai +4 more
doaj +1 more source
The Mel-Frequency Cepstral Coefficients In The Context Of Singer Identification. [PDF]
, 2005 [TODO] Add abstract here.
Annamaria Mesaros, Jaakko Astola
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MFCC-Based Sound Classification of Honey Bees [PDF]
International Journal of Electronics and Telecommunications—Smart beekeeping is a rapidly developing field. Automated detection and classification of honey bees opens many new opportunities for studies on their behavior.
Urszula Libal, Pawel Biernacki
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International Journal of Interactive Multimedia and Artificial Intelligence, 2022 The speech signal within a sub-band varies at a fine level depending on the type, and level of dysarthria. The Mel-frequency filterbank used in the computation process of cepstral coefficients smoothed out this fine level information in the higher ...
Laxmi Priya Sahu +2 more
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A REVIEW ON VOICE ACTIVITY DETECTION AND MEL-FREQUENCY CEPSTRAL COEFFICIENTS FOR SPEAKER RECOGNITION (TREND ANALYSIS) [PDF]
, 2016 Objective: The objective of this review article is to give a complete review of various techniques that are used for speech recognition purposes overtwo decades.Methods: VAD-Voice Activity Detection, SAD-Speech Activity Detection techniques are discussed
P Mahalakshmi
core +4 more sources
Footstep Recognition Using Mel Frequency Cepstral Coefficients and Artificial Neural Network
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2020 Footstep recognition is relatively new biometrics and based on the learning of footsteps signals captured from people walking on the sensing area.
Thasya Nurul Wulandari Siagian +2 more
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Flow chart showing the procedure for computation of mel-frequency cepstral coefficients. [PDF]
, 2014 Flow chart showing the procedure for computation of mel-frequency cepstral coefficients.
Chandra Sekhar Seelamantula (531536) +3 more
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