UCSY's Research Repository

Browsing by Author "Pa, Win Pa"

Browsing by Author "Pa, Win Pa"

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  • Analysis of Feature Extraction Techniques for Myanmar Automatic Speech Recognition 
    Aung, Myat Aye Aye; Pa, Win Pa (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Automatic Speech Recognition (ASR) system is to accurately and efficiently convert speech signal into a text message independent of device, speaker or the environment. Feature extraction is the second component of ...
  • Analysis of Word Vector Representation Techniques with Machine-Learning Classifiers for Sentiment Analysis of Public Facebook Page’s Comments in Myanmar Text 
    Aung, Hay Mar Su; Pa, Win Pa (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    This paper presents a study of comparison on three different machine learning techniques to sentiment analysis for Myanmar language. The fundamental part of sentiment analysis (SA) is to extract and identify the ...
  • Automatic Mining of Verb Affixes for Myanmar Language with Unsupervised learning by using N-Grams 
    Than, Shalle Soe; Pa, Win Pa (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    A separable verb is a verb that is composed of a verb stem and a separable affix which is called verb affixes. Mining of verb affixes is to extract the various forms of verb affixes from any Myanmar sentences. A Method ...
  • Automatic Speech Recognition on Spontaneous Interview Speech 
    Naing, Hay Mar Soe; Pa, Win Pa (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    This paper presents a spontaneous speech recognition system for Myanmar language. Automatic speech recognition (ASR) on some controlled speech has achieved almost human performance. However, the performance of spontaneous ...
  • BMISEC:Corpus Of Burmese Emotional Speech 
    Mar, Lwin Lwin; Pa, Win Pa; Nwe, Tin Lay (ICCA, 2021-02-25)
    Speech is the most popular method of communication and emotions play an important role in human to human communication. For naturalness in human to machine communication, machine needs to understand human emotions well. ...
  • Building Annotated Image Dataset for Myanmar Text to Image Synthesis 
    Htwe, Nan Kham; Pa, Win Pa (ICCA, 2021-02-25)
    Text to image synthesis is the translation of images from the input language text. The learning process can become easier when the spoken words can visualize with the images. It is one of the popular research field in ...
  • Building HMM-SGMM Continuous Automatic Speech Recognition on Myanmar Web News 
    Mon, Aye Nyein; Pa, Win Pa; Thu, Ye Kyaw (Fifteenth International Conference on Computer Applications (ICCA 2017), 2017-02-16)
    Myanmar language is a tonal and analytic language. It can be considered as an under-resourced language because of its linguistic resource availability. Therefore, speech data collection is a very challenging task in ...
  • Building Speaker Identification Dataset for Noisy Conditions 
    Phyu, Win Lai Lai; Pa, Win Pa (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    Speech signal processing plays a crucial role in any speech-related system whether Automatic Speech Recognition or Speaker Recognition or Speech Synthesis or something else. Burmese language can be considered as an ...
  • Classification of Acute Upper Gastrointestinal Bleeding based on Rough Neural Network 
    Aung, Su Mon; Pa, Win Pa (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    The main emphasize of paper is the classification of Acute upper Gastrointestinal Bleeding based on Rough neural network. Classification is used to extract model describing important and data classes or future data ...
  • Comparative Study of Decision Tree Algorithms: ID3 and CART 
    Thu, Su Myat; Pa, Win Pa (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Classification of data objcts based on a predefined knowledge of the objects is a data mining and knowledge management techniques used grouping similar data objects together. It can be defined as supervised learning ...
  • Comparison of Boosted C5 over ID3 and C4.5 Abdominal Pain Problem 
    Aye, Hnin Nwe; Pa, Win Pa (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Classification can be used as in the form of data analysis that can be used to extract models describing the important data classes. This aim of this paper is to exmaine the performance of decision tree algorithms. ...
  • Decision Support System for Taking Actions to Staffs Using Cased Based Reasoning 
    Aye, Khaing Zar; Pa, Win Pa (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    A decision support system a case-base of previously taken actions and a record of previous taking action processes can assist Administrators in deciding and solving problem cases of staffs in new cases. This system suggests ...
  • Dependency Head Annotation for Myanmar Dependency Treebank 
    Aye, Hnin Thu Zar; Pa, Win Pa (Special Issue on Multidisciplinary Sciences and Engineering in Advances in Science, Technology and Engineering Systems Journal, 2020-11)
    Complete manual annotation of dependency treebank needs resources like annotators and annotation tools and takes long time and has high possibility of inconsistent annotations for free word order languages such as Myanmar. ...
  • Depression Detection from Speech Emotion Recognition 
    Mar, Lwin Lwin; Pa, Win Pa (Seventeenth International Conference on Computer Applications(ICCA 2019), 2019-02-27)
    The recognition of the internal emotional state of a person plays an important role in several humanrelated fields. Emotions constitute an essential part of our existence as it exerts great influence on the physical ...
  • English-to-Myanmar Statistical Machine Translation Using a Language Model on Part-of-Speech in Decoding 
    Aye, Hnin Thu Zar; Ding, Chenchen; Pa, Win Pa; Nwet, Khin Thandar; Utiyama, Masao; Sumita, Eiichiro (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    In this study, we investigate English-to-Myanmar statistical machine translation (SMT) by using part-of-speech (POS) as linguistic inform-ation which is valuable for statistical machine translation systems to extract ...
  • Generating Myanmar News Headlines using Recursive Neural Network 
    Thu, Yamin; Pa, Win Pa (Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020), 2020-02-28)
    Text summarization in the form of Headline prediction for written articles becomes a popular research recently. This paper presents a headline prediction model using Recursive Recurrent Neural Network (Recursive RNN) ...
  • Health Care System for Lung Disease Classification using Modified Gini 
    Wai, Tin Yu; Pa, Win Pa (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Data mining is the process of analyzing data from different prespectives and summarizing it into useful information. Classification has been used for predicting medical diagnosis. Human experts in medical field are frequently ...
  • Improving Myanmar Image Caption Generation Using NASNetLarge and Bi-directional LSTM 
    Aung, San Pa Pa; Pa, Win Pa; Nwe, Tin Lay (ICCA, 2021-02-25)
    The main objective of this paper is to improve the automatic Myanmar captions by learning the contents of images using NASNetLarge and Bi-LSTM model. Describing the contents of an image is a complex task for machine without ...
  • Morphological Analysis of Myanmar Language by using Support Vector Machine 
    Htun, Thet Thet; Pa, Win Pa (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    In a variety of Natural Language Processing (NLP) tasks, the words syntactic categories or Part of Speech (POS) tagging is the necessary process for Myanmar to other languages machine translation system. Morphologica ...
  • A Myanmar Large Vocabulary Continuous Speech Recognition System 
    Naing, Hay Mar Soe; Hlaing, Aye Mya; Pa, Win Pa; Hu, Xinhui; Thu, Ye Kyaw; Hori, Chiori; Kawai, Hisashi (APSIPA Annual Summit and Conference 2015, 2015-12-16)
    This paper presents a large vocabulary automatic speech recognition (ASR) system for Myanmar.

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