Evaluation and design of wavelet packet cepstral coefficient (WPCC) for a noisy Indonesian vowels signal

S Hidayat, M Tajuddin - Journal of Physics: Conference Series, 2019 - iopscience.iop.org
Abstract Wavelet feature, Wavelet Packet Cepstral Coefficient (WPCC), is widely used both
in speaker and speech recognition systems. WPCC is designed to replace the role of MFCC …

Vowel Sound Analysis in the Indonesian Language using Multilevel Wavelet Entropy

R Hidayat, A Rizal, A Bejo… - 2019 5th International …, 2019 - ieeexplore.ieee.org
vowel is an integral part of speech signal processing. It can stand alone or be combined with
a consonant to form specific sound. Previous studies have used wavelet transformation as …

[PDF][PDF] Implementation of Cross-correlation in Selecting the Best Wavelet Basis Function for Indonesian Vowel Voice Recognition System

S Hidayat, HRP Negara, DT Kumoro, J Budiarto… - no. April, 2018 - academia.edu
In the speech recognition system, feature extraction has an important role. There is several
feature extraction technique in speech recognition system, the two best among them are …

Penentuan Filterbank Wavelet Menggunakan Algoritma Mean Best Basis untuk Ekstraksi Ciri Sinyal Suara Ber-Noise

A Abdurahim, S Hidayat - Jurnal Teknologi Informasi dan Ilmu Komputer, 2020 - jtiik.ub.ac.id
Belakangan ini filterbank berbasis wavelet sebagai ekstraktor ciri mulai banyak
dikembangkan untuk dapat menggantikan peran ciri Mel Frequency Cepstral Coefficient …

Wavelet DB44 and MBB Algorithm for Sasak Vowels Recognition

S Hidayat, M Tajuddin, A Adil, M Nur… - … on Informatics and …, 2019 - ieeexplore.ieee.org
Ancient manuscripts are original handwriting that is at least 50 years old and has
significance for civilization, history, culture, and science. In the preservation of ancient …

[引用][C] Wavelet DB44 and MBB Algorithm for Sasak Vowels Recognition

A Adil

[引用][C] Sistem Pengenalan Suara Digit dengan Metode Wavelet-MFCC dan Korelasi

Z Dyarbirru - 2020 - UNIVERSITAS BUMIGORA