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Isolated Malay speech recognition using fuzzy logic

Normiza, Mohd Yusof (2019) Isolated Malay speech recognition using fuzzy logic. Faculty of Computer System & Software Engineering, Universiti Malaysia Pahang.

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Abstract

Artificial intelligence (AI) is one of the method that human use to communicate between human and computer. There are a lot of applications has been produces by AI approach such as medical diagnosis, proving mathematical theorems and autonomous vehicle. Many methods and approach has been used by researcher to develop speech recognition system such as neural network and Hidden Markov Model. This research aim is to develop a isolated Malay speech recognition using Fuzzy Logic method. This research is focused on six isolated words which is empat (four), lapan (eight), rekod (record), tidak (no), tujuh (seven), and tutup (close). This research is also focused on the development of fuzzy rules between each words. The evaluation process is measured based on the accuracy rate between the previous method using Hidden Markov Model. The result show that 75% speech recognition accuracy rate using fuzzy logic method.

Item Type: Undergraduates Project Papers
Additional Information: Project Paper (Bachelors of Computer Science (Computer Systems & Networking)) -- Universiti Malaysia Pahang – 2019, SV: DR NOORHUZAIMI @ KARIMAH BINTI MOHD NOOR, e-Thesis
Uncontrolled Keywords: Artificial intelligence (AI); Malay speech recognition; Fuzzy Logic
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Mrs. Sufarini Mohd Sudin
Date Deposited: 18 Dec 2019 03:10
Last Modified: 18 Dec 2019 03:10
URI: http://umpir.ump.edu.my/id/eprint/26989
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