Papers by Hay Mar Soe Naing
Phrase based statistical machine translation (PBSMT) is a current state-of-the-art approach to ma... more Phrase based statistical machine translation (PBSMT) is a current state-of-the-art approach to machine translation, however its outputs often contain various types of errors such as lexical errors, and syntax errors (Koehn et al., 2003)(Bojar et al., 2013)(Bojar, 2011b). Incorporating deep linguistic knowledge directly into PBSMT is not easy and rarely leads to improvements in translation performance (Bojar, 2011a). One of the possible solution is to make automatic corrections on translated output in a post-editing process. This paper presents a rule based post-editing scheme for fixing translation errors based on out of vocabulary (OOV) Katakana words produced by Japanese to Myanmar PBSMT. Our experiments indicate that applying rule based Katakana to Myanmar transliteration leads to substantial improvements of translation quality both in terms of BLEU scores and OOV coverage.
A new approach for speech feature extraction in automatic speech recognition (ASR) is proposed in... more A new approach for speech feature extraction in automatic speech recognition (ASR) is proposed in this paper. It is based on the human auditory system. Generally, the mel frequency cepstral coefficients (MFCC) are the most widely used speech features in ASR systems, but one of their main drawbacks is background noise, which can affect and hamper the results. This paper proposes noise robust speech features which improve upon the MFCC. A psychoacoustic model-based feature extraction that simulates the perception of sound in the human auditory system is investigated and integrated into the MFCC. The complexity of the signal can be reduced by using a masking effect during feature extraction, minimizing the feature components without any significant loss in perceiving quality of sound. Moreover, it can reduce the noise effect of speech signal. In this paper, a hidden Markov model is employed to recognize English isolated digits. These experiments verify that the proposed modified method...
2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2015
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Papers by Hay Mar Soe Naing