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Moe Pwint
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2010 – 2019
- 2016
- [j2]Farook Sattar
, Frank Rudzicz
An evolutionary approach for segmentation of noisy speech signals for efficient voice activity detection. Artif. Intell. Res. 5(1): 56-66 (2016) - 2010
- [c10]K. Zin Lin, Moe Pwint:
Structuring Sport Video through Audio Event Classification. PCM (1) 2010: 481-492
2000 – 2009
- 2008
- [c9]Feng Jin, Farook Sattar, Moe Pwint:
Application of Walsh Transform Based Method on Tracheal Breath Sound Signal Segementation. BIOSIGNALS (2) 2008: 116-121 - [c8]Feng Jin, Farook Sattar, Moe Pwint:
Phase Segmentation of Noisy Respiratory Sound Signals using Genetic Approach. BIOSIGNALS (2) 2008: 122-127 - [c7]Ei Mon Mon Swe, Moe Pwint, Farook Sattar
On the Discrimination of Speech/Music Using a Time Series Regularity. ISM 2008: 53-60 - [c6]Ei Mon Mon Swe, Moe Pwint:
An Efficient Approach for Classification of Speech and Music. PCM 2008: 50-60 - 2007
- [j1]Moe Pwint, Farook Sattar
Speech/Nonspeech Detection Using Minimal Walsh Basis Functions. EURASIP J. Audio Speech Music. Process. 2007 (2007) - 2005
- [c5]Moe Pwint, Farook Sattar
A segmentation method for noisy speech using genetic algorithm. ICASSP (5) 2005: 521-524 - [c4]Farook Sattar
A new speech/non-speech classification method using minimal Walsh basis functions. ISCAS (3) 2005: 2863-2866 - 2004
- [c3]Farook Sattar
A new segmentation technique for noisy multi-component signals using wavelet transform. ISCAS (3) 2004: 229-232 - 2003
- [c2]Moe Pwint, Farook Sattar
A time-scaling approach to detect the closely spaced segments of noisy speech signals. ICECS 2003: 120-123 - 2002
- [c1]Farook Sattar
On the segmentation of narrowly-spaced noisy audio signals. ICME (2) 2002: 281-284
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