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  1. University of Computer Studies, Yangon
  2. Conferences

Automatic Speech Recognition on Spontaneous Interview Speech

http://hdl.handle.net/20.500.12678/0000004671
http://hdl.handle.net/20.500.12678/0000004671
356c8c89-79b2-4d0e-9404-ce096babce09
43552e1f-8f86-43a0-afa9-ea9f4e91db8b
Publication type
Article
Upload type
Publication
Title
Title Automatic Speech Recognition on Spontaneous Interview Speech
Language en
Publication date 2018-02-22
Authors
Naing, Hay Mar Soe
Pa, Win Pa
Description
This paper presents a spontaneous speechrecognition system for Myanmar language. Automaticspeech recognition (ASR) on some controlled speechhas achieved almost human performance. However, theperformance of spontaneous speech is drasticallydecreased due to the diversity of speaking styles, speakrate, presence of additive and non-linear distortion,accents and weakened articulation. In this study, webuilt a recognizer for Myanmar Interview speech byusing the classical Gaussian Mixture Model basedHidden Markov Model (HMM-GMM) approach. Weinvested that the effect of variation on acoustic featureand number of senones and Gaussian densities onMyanmar Interview speech. According to theseexperiments, we achieved the best Word Error Rate(WER) of 20.47%.
Keywords
Spontaneous speech, ASR, HMM-GMM Myanmar
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/329
Journal articles
Sixteenth International Conferences on Computer Applications(ICCA 2018)
Conference papers
Books/reports/chapters
Thesis/dissertations
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