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Admissible Wavelet Packet Sub-band based Harmonic Energy Features using ANOVA fusion techniques for Hindi Phoneme Recognition. A. Biswas*, P. K. Sahu, M. Chandra, Dept. of Electrical Engineering.

N
owadays, wavelet packet (WP) based features have been used extensively to maximize the performance of automatic speech recognition (ASR) in the complex auditory environment. However, wavelet features are less sufficient to represent the voiced speech. Recent researches on WP technique seek for
complementary voicing information to overcome this problem. However, considering additional voicing features results in longer dimension and somehow affected the performance for unvoiced speech. This paper presents a new analysis of variance (ANOVA) technique to incorporate voicing information on WP sub-band based features without affecting its performance and dimension. More in IET Signal Processing (Early Access) (DOI: 10.1049/iet-spr.2015.0488) (List of Research)

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