[PDF][PDF] Feature extraction techniques in speech processing: a survey

R Hibare, A Vibhute - International Journal of Computer Applications, 2014 - academia.edu
Speech processing includes the various techniques such as speech coding, speech
synthesis, speech recognition and speaker recognition. In the area of digital signal …

Wavelet detail coefficient as a novel wavelet-mfcc features in text-dependent speaker recognition system

S Hidayat, M Tajuddin, SAA Yusuf… - IIUM Engineering …, 2022 - journals.iium.edu.my
Speaker recognition is the process of recognizing a speaker from his speech. This can be
used in many aspects of life, such as taking access remotely to a personal device, securing …

[PDF][PDF] Real and Complex Wavelet Transform Approaches for Malaysian Speaker and Accent Recognition.

R Abdullah, H Muthusamy, V Vijean… - … Journal of Science …, 2019 - pertanika2.upm.edu.my
ABSTRACT A new approach for speaker and accent recognition based on wavelets, namely
Discrete Wavelet Packet (DWPT), Dual Tree Complex Wavelet Packet Transform (DT …

Comparison of feature extraction mel frequency cepstral coefficients and linear predictive coding in automatic speech recognition for indonesian

SN Endah, S Adhy, S Sutikno - … Computing Electronics and …, 2017 - telkomnika.uad.ac.id
Speech recognition can be defined as the process of converting voice signals into the ranks
of the word, by applying a specific algorithm that is implemented in a computer program. The …

Comparison of Feature Extraction MFCC and LPC in Automatic Speech Recognition for Indonesian.

SN Endah, S Adhy - Telkomnika, 2017 - search.ebscohost.com
Speech recognition can be defined as the process of converting voice signals into the ranks
of the word, by applying a specific algorithm that is implemented in a computer program. The …

Integrated system design for broadcast program infringement detection

SN Endah, S Adhy, S Sutikno - … Computing Electronics and …, 2015 - telkomnika.uad.ac.id
Supervision of television and radio broadcast programs by the “Komisi Penyiaran Indonesia
(KPI)” Central Java was still performed manually ie direct supervision by humans. It certainly …

[PDF][PDF] Recent advances in LVCSR: a benchmark comparison of performances

R Errattahi, A El Hannani - Int J Electr Comput Eng, 2017 - academia.edu
ABSTRACT Large Vocabulary Continuous Speech Recognition (LVCSR), which is
characterized by a high variability of the speech, is the most challenging task in automatic …

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 …

Sistem Pengenalan Pembicara dengan Metode Wavelet-MCFF dan Pengklasifikasi Hidden Markov Models (HMM)

S Hidayat, AS Anas, SAA Yusuf… - Jurnal Teknologi Informasi …, 2021 - jtiik.ub.ac.id
Penelitian pengolahan sinyal digital yang berfokus pada pengenalan pembicara telah
dimulai sejak beberapa dekade yang lalu, dan telah menghasilkan banyak metode-metode …

Classification of speech signal based on feature fusion in time and frequency domain

D Kristomo, FH Nugroho - 2021 4th International Seminar on …, 2021 - ieeexplore.ieee.org
The design of a speech recognition system requires a reliable feature extraction process. It
has an essential function since a good feature can help to improve the classification rate …