New time-frequency derived cepstral coefficients for automatic speech recognition [PDF]
The goal is to improve recognition rate by optimisation of Mel Frequency Cepstral Coefficients (MFCCs): modifications concern the time-frequency representation used to estimate these coefficients.
Wassner, Hubert, Chollet, Gérard
core
Klasifikasi jenis suara manusia menggunakan algoritma Convolutional Neural Network dengan metode ekstraksi Mel-Frequency Cepstral Coefficients [PDF]
Deteksi jenis suara manusia dalam konteks paduan suara sebagai penggunaan media pembelajaran dengan menggunakan CNN dan MFCC. Penelitian ini bertujuan untuk mengklasifikasi jenis suara manusia sehingga terbaginya ke 4 label yaitu sopran, alto, tenor, dan
Fatah, Muhammad Reza Abdul
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Voice Disorder Classification Based on Multitaper Mel Frequency Cepstral Coefficients Features. [PDF]
Eskidere Ö, Gürhanlı A.
europepmc +1 more source
In this paper, a novel method for detecting of laryngeal pathologies using deep neural networks and time–frequency signal processing techniques is presented.
Cherif Sofiane +3 more
doaj +1 more source
Voice Recognition and Marking Using Mel-frequency Cepstral Coefficients [PDF]
Sheu, Jia-Shing, Chen, Ching-Wen
openaire +1 more source
MEL-FREQUENCY CEPSTRAL COEFFICIENTS AND SPECTRUM BASED ADDITIONAL FEATURES IN AUTOMATIC SPEAKER RECOGNITION [PDF]
The efficiency of the proposed automatic speaker recognizer is evaluated using two speech databases. The feature vector consists of 21 mel-frequency cepstral coefficients (MFCCs), along with up to three additional features derived from the amplitude ...
Delić, Vlado +3 more
core +1 more source
Advancing insect monitoring: analysis of mel-frequency cepstral coefficients from optical signals for body orientation estimation. [PDF]
Saha T, Thomas BP.
europepmc +1 more source
Rapid Diagnosis of Distributed Acoustic Sensing Vibration Signals Using Mel-Frequency Cepstral Coefficients and Liquid Neural Networks. [PDF]
Liu H, Xu Y, Qi Y, Yang H, Bi W.
europepmc +1 more source
Enhanced heart sound classification using Mel frequency cepstral coefficients and comparative analysis of single vs. ensemble classifier strategies. [PDF]
Hosseinzadeh M +10 more
europepmc +1 more source
PROTOTYPE SISTEM KENDALI PENYALAAN PERALATAN LISTRIK MENGGUNAKAN PERINTAH SUARA DENGAN METODE MEL-FREQUENCY CEPSTRAL COEFFICIENTS DAN CONVOLUTIONAL NEURAL NETWORK [PDF]
Sistem kendali yang sedang berkembang saat ini adalah sistem kendali menggunakan suara. Dengan pengenalan suara pengembangan teknik dan pembelajaran pada mesin atau komputer untuk dapat menerima masukan berupa kata maupun kalimat yang diucapkan ...
Adhadi, Kurniawan +2 more
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