Noise robustness of Spectrum Delta (SpD) features in Malay vowel recognition
In Malaysia, there is increasing number of speech recognition researchers focusing on developing independent speaker speech recognition systems that uses Malay Language which are noise robust and accurate.The performance of speech recognition application under adverse noisy condition often becomes t...
Main Authors: | Mohd Yusof, Shahrul Azmi, Mahat, Nor Idayu, Din, Roshidi, Yaakub, Abdul Razak, Yaacob, Sazali |
---|---|
Format: | Article |
Published: |
Springer
2012
|
Subjects: |
Similar Items
-
Noise robustness of first formant bandwidth (F1BW) features in Malay vowel recognition
by: Mohd Yusof, Shahrul Azmi, et al.
Published: (2012) -
NOISE ROBUSTNESS OF FIRST FORMANT BANDWIDTH (F1BW) FEATURES IN MALAY VOWEL RECOGNITION
by: Shahrul Azmi Mohd Yusuf, et al.
Published: (2012-04-01) -
Improved Malay vowel feature extraction method based on first and second formants
by: Mohd Yusof, Shahrul Azmi, et al.
Published: (2010) -
Malaysian vowel recognition based on spectral envelope using bandwidth approach
by: Siraj, Fadzilah, et al.
Published: (2009) -
An improved feature extraction method for Malay vowel recognition based on spectrum delta
by: Mohd Yusof, Shahrul Azmi
Published: (2014)