Zobrazeno 1 - 10
of 10
pro vyhledávání: '"DOMY KRISTOMO"'
Publikováno v:
Journal of Engineering Science and Technology, Vol 13, Iss 9, Pp 2964-2977 (2018)
In a speech recognition and classification system, the step of determining the suitable and reliable classifier is essential in order to obtain optimal classification result. This paper presents Indonesian syllables sound classification by a C4.5 dec
Externí odkaz:
https://doaj.org/article/619868150c30444cb1cb2de162065e0f
Autor:
Domy Kristomo, Fx Henry Nugroho
Publikováno v:
2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI).
Autor:
Domy Kristomo, Adi Kusjani
Publikováno v:
JIKO (Jurnal Informatika dan Komputer). 6:133
Autor:
Yudhi Kusnanto, Domy Kristomo
Publikováno v:
Proceedings of the International Conferences on Information System and Technology.
Publikováno v:
2018 Joint 7th International Conference on Informatics, Electronics & Vision (ICIEV) and 2018 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR).
In the research field of pattern recognition, especially in the signal classification, the process of determining the suitable and the relevant feature is important to obtain the better classification result. This paper presents the feature selection
Publikováno v:
2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA).
Feature extraction plays a very important role in the speech classification process because a better feature is good for improving the classification rate. This paper presents a speech feature extraction method by using Discrete Wavelet Transform (DW
Publikováno v:
2016 8th International Conference on Information Technology and Electrical Engineering (ICITEE).
The development of the pattern recognition techniques in voice recognition has rapidly increased. Many methods are used to create a system that is reliable and easily accessible so that the recognition accuracy is high. To find the pattern recognitio
Publikováno v:
2016 2nd International Conference on Science and Technology-Computer (ICST).
The major problem of most speech recognition systems is their unsatisfactory effectiveness (impact to recognition rate), efficiency (feature vector dimension), shift variance, and robustness in noisy condition. Feature extraction plays a very importa
Publikováno v:
AIP Conference Proceedings.
Heart auscultation is a screening method done by listening using a stethoscope for early diagnosis of heart disease, it is low cost and non-invasive, but it has a limitation of human hearing. This paper presents a noise-robust feature extraction meth
Publikováno v:
TELKOMNIKA (Telecommunication Computing Electronics and Control). 16:925
This paper proposes the combined methods of Wavelet Transform (WT) and Euclidean Distance (ED) to estimate the expected value of the possibly feature vector of Indonesian syllables. This research aims to find the best properties in effectiveness and