Isolated Myanmar Speech Recognition via ANN

Hsan, Nan Phyu Phyu; Oo, Twe Ta

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Isolated Myanmar Speech Recognition via ANN

http://hdl.handle.net/20.500.12678/0000004353

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Publication type
		Article
Upload type
		Publication
Title
	Title	Isolated Myanmar Speech Recognition via ANN
	Language	en_US
Publication date		2019-03
Authors
		Hsan, Nan Phyu Phyu
		Oo, Twe Ta
Description
		Automatic Speech Recognition (ASR) is a popularand challenging area of research in human computerinteraction. This paper presents an isolated Myanmarspeech recognition system that is speaker dependentas well as speaker independent and developed byusing Artificial Neural Network techniques. In thissystem, the Mel Frequency Cepstral Coefficientsextracted from the manually preprocessed words areconsidered as the features to acoustically identify thespeeches. Those features are then used to train andtest the Backpropagation neural network model. Thissystem uses a database of 2800 utterances (names ofthe cities in Myanmar) by 10 talkers (4 males and 6females), from which 2400 utterances are used fortraining and 400 are used for testing and recognition.As per the experimental results, the proposed systemachieved the recognition rate of about 93.5% forknown speakers (i.e., speaker dependent) and 76.5%for unknown speakers (i.e., speaker independent).
Keywords
		ASR, isolated speech, ANN, MFCC
Identifier		http://onlineresource.ucsy.edu.mm/handle/123456789/2292
Journal articles
		University of Computer Studies, Yangon
Conference papers
Books/reports/chapters
Thesis/dissertations