Results 101 to 110 of about 3,612,587 (208)

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  

KLASIFIKASI SUARA LOVEBIRD DENGAN METODE MEL FREQUENCY CEPSTRAL COEFFICIENT (MFCC) DAN FUZZY LOGIC [PDF]

, 2015
ABSTRAK Perkembangan teknologi yang semakin pesat dapat memudahkan kehidupan masyarakat. Salah satunya dalam menyalurkan hobi khususnya untuk pencinta kicau burung.
WULANDARY IKA HANESIA
core  

Flow chart showing the procedure for computation of mel-frequency cepstral coefficients.

, 2014
Flow chart showing the procedure for computation of mel-frequency cepstral coefficients.
Chandra Sekhar Seelamantula (531536), P. V. D. S. Sundeep (531535), Rohini Balakrishnan (463161), Samira Agnihotri (531534)   +3 more
core   +1 more source

Hyperbolically-Warped Cepstral Coefficients for Improved Micro-Doppler Classification

, 2016
Mel-frequency cepstrum coefficients (MFCC) have been used in many recent works as features for micro-Doppler classification. Originally proposed as features for speech recognition, the filter bank applied as part of the computation of the MFCC is ...
Gurbuz, Sevgi Zubeyde, Erol, Baris
core   +1 more source

Neonatal Pathology Classification From Infant Cry Signals Using a Multi-Branch Graph Neural Network

IEEE Access
Even today, the precise and noninvasive identification of neonatal diseases from infant cry signals remains challenging due to the nonstationary and acoustic heterogeneity of cry patterns.
Layth Herzallah, Mahmoud Hantash, Ahmad Hasasneh, Sari Masri, Chakib Tadj   +4 more
doaj   +1 more source

KLASIFIKASI SUARA PERNAFASAN NORMAL DAN ABNORMAL MANUSIA DENGAN MENGGABUNGKAN METODE CIRI WAVELET DAN MEL-FREQUENCY CEPSTRAL COEFFICIENT (MFCC) [PDF]

, 2017
Suara pernafasan dapat memberikan informasi kondisi kesehatan pada sistem pernafasan manusia. Berbagai studi telah dilakukan untuk mendeteksi suara pernafasan yang normal dan abnormal, diantaranya dengan menggunakan metode ciri transformasi wavelet ...
ALFAREZA LAZUARDY NUGRAHADI, .
core   +1 more source

Optimizing MFCC Parameters for Breathing Phase Detection

Sensors
Breathing phase detection is fundamental for various clinical and digital health applications, yet standard Mel Frequency Cepstral Coefficients (MFCCs) settings often limit classification performance.
Assel K. Zhantleuova, Yerbulat K. Makashev, Nurzhan T. Duzbayev   +2 more
doaj   +1 more source

Pengenalan Pengucapan Huruf Hijaiyah menggunakan Mel Frequency Cepstral Coefficients dan Bayesian Networks [PDF]

, 2017
Penelitian ini dilakukan bertujuan untuk mengimplementasikan pengenalan pengucapan huruf hijaiyah menggunakan Mel Frequency Cepstral Coefficients (MFCC) dan Bayesian Networks. Dataset yang digunakan berupa hasil rekaman suara dari 6 orang penutur (3 laki-
RIZKY FADILLAH
core  

Speaker identification using higher order spectral phase features and their effectiveness vis-a-vis Mel-Cepstral features

, 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, Ning, Daryl, Daryl Ning, Sridha Sridharan, Chandran, Vinod, Vinod Chandran   +5 more
core   +1 more source

A mathematical relationship between full-band and multiband mel-frequency cepstral coefficients

, 2002
Recently, it has been shown that robustness of automatic speech recognition (ASR) against band-limited additive noises may be improved by multiband ASR (MBASR) approaches. In an M-subband MBASR system, the channels in the full-band filterbank are divided
Mak, Brian
core   +1 more source