Results 11 to 20 of about 3,612,587 (208)

Voice authentication module using mel-cepstral coefficients [PDF]

Вестник Дагестанского государственного технического университета: Технические науки
Objective. The purpose of the study is to develop and apply a method for extracting information about the identity of users from recordings of their voices using the calculation of mel-cepstral coefficients.Method.
D. A. Elizarov, P. A. Ashaeva, E. A. Stepanova   +2 more
doaj   +2 more sources

Classification of Javanese Script Hanacara Voice Using Mel Frequency Cepstral Coefficient MFCC and Selection of Dominant Weight Features [PDF]

JURNAL INFOTEL, 2021
This study investigates the sound of Hanacaraka in Javanese to select the best frame feature in checking the reading sound. Selection of the right frame feature is needed in speech recognition because certain frames have accuracy at their dominant weight, so it is necessary to match frames with the best accuracy.
Gita Fadila Fitriana, Tenia Wahyuningrum, Heriyanto Heriyanto   +2 more
openaire   +3 more sources

Quranic Verse Recitation Feature Extraction using Mel-Frequency Cepstral Coefficient (MFCC)

, 2014
Each person’s voice is different. Thus, the Quran sound, which had been recited by most of recitors will probably tend to differ a lot from one person to another. Although those Quranic sentence were particularly taken from the same verse, but the way of the sentence in Al-Quran been recited or delivered may be different.
Ibrahim, Noor Jamaliah, Zaidi Razak, Yamani Idna Idris, Mohd, Zulkifli Mohd Yusoff, Emran Mohd Tamil, Noor Naemah Abdul Rahman   +5 more
openaire   +2 more sources

EKSTRAKSI CIRI MEL FREQUENCY CEPSTRAL COEFFICIENT (MFCC) DAN RERATA COEFFICIENT UNTUK PENGECEKAN BACAAN AL-QUR’AN [PDF]

Telematika, 2018
AbstrakBelajar membaca Al-Qur’an menggunakan alat bantu aplikasi sangat diperlukan dalam mempermudah dan memahami bacaan Al-Qur’an. Pengecekan bacaan Al-Qur’an salah satu metode dengan MFCC untuk pengenalan suara cukup baik dalam speech recognition.Metode tersebut telah lama diperkenalkan oleh Davis dan Mermelstein sekitar tahun 1980.
Heriyanto Heriyanto, Sri Hartati, Agfianto Eko Putra   +2 more
openaire   +3 more sources

A cough-based COVID-19 detection with gammatone and Mel-frequency cepstral coefficients [PDF]

, 2023
Many countries have adopted a public health approach that aims to address the particular challenges faced during the pandemic Coronavirus disease 2019 (COVID-19).
Atman Jbari, Jamal Elmhamdi, Jilbab, Abdelilah, Elmehdi Benmalek, Benmalek, Elmehdi, Jbari, Atman, Abdelilah Jilbab, El Mhamdi, Jamal   +7 more
core   +1 more source

Artificial Intelligent for Human Emotion Detection with the Mel-Frequency Cepstral Coefficient (MFCC)

JUITA : Jurnal Informatika, 2023
Emotions are an important aspect of human communication. Expression of human emotions can be identified through sound. The development of voice detection or speech recognition is a technology that has developed rapidly to help improve human-machine interaction. This study aims to classify emotions through the detection of human voices.
Anita Ahmad Kasim, Muhammad Bakri, Irwan Mahmudi, Rahmawati Rahmawati, Zulnabil Zulnabil   +4 more
openaire   +2 more sources

Combination of VMD Mapping MFCC and LSTM: A New Acoustic Fault Diagnosis Method of Diesel Engine

Sensors, 2022
Diesel engines have a wide range of functions in the industrial and military fields. An urgent problem to be solved is how to diagnose and identify their faults effectively and timely.
Hao Yan, Huajun Bai, Xianbiao Zhan, Zhenghao Wu, Liang Wen, Xisheng Jia   +5 more
doaj   +1 more source

Regional language Speech Emotion Detection using Deep Neural Network [PDF]

ITM Web of Conferences, 2022
Speaking is the most basic and efficient mode of human contact. Emotions assist people in communicating and understanding others’ viewpoints by transmitting sentiments and providing feedback.The basic objective of speech emotion recognition is to enable ...
Padman Sweta, Magare Dhiraj
doaj   +1 more source

Comparative Study of different types of RNN in Speech Classification [PDF]

The Egyptian Journal of Language Engineering, 2021
This paper introduces different models for pre-processing classification and their performance in Automatic Speech Recognition system. Different Recurrent Neural Network (RNN) architectures have been tested for this problem, such as RNN cells (RNN ...
Tarek Said, Amr Gody, Ayat Ragheb
doaj   +1 more source

Speech-Based Vehicle Movement Control Solution

Journal of Telecommunications and Information Technology, 2021
The article describes a speech-based robotic prototype designed to aid the movement of elderly or handicapped individuals. Mel frequency cepstral coefficients (MFCC) are used for the extraction of speech features and a deep belief network (DBN) is ...
Gurpreet Kaur, Mohit Srivastava, Amod Kumar   +2 more
doaj   +1 more source