A robust polynomial regression-based voice activity
By N. P. Jawarkar, R. S. Holambe and T. K. Basu. Abstract. This paper describes a technique for unsupervised audio segmentation. Main objective of the work presented in this paper is to study the performance of audio segmentation system using metric-based method. The system first classifies the audio signal into speech and nonspeech signal CiteSeerX — New Feature Extraction Techniques for Marathi CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract — In this paper a new efficient feature extraction methods for speech recognition have been proposed. The features are obtained from Cepstral Mean Normalized reduced order Linear Predictive Coding (LPC) coefficients derived from the speech frames decomposed using Discrete Wavelet Transform (DWT). Iris Recognition Based New Technique for Person Mar 29, 2011 Effects of signal bandwidth and noise on individual
Gawande J. P., Rahulkar A. D., Holambe R. S. (2015). Design of new class of regular biorthogonal wavelet filter banks using generalized and hybrid lifting structures . Signal Image Video Process. 9 , 265–273. 10.1007/s11760-015-0814-0 [ Cross Ref ]
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M. A. Muqeet and R. S. Holambe, “Local appearance-based face recognition using adaptive directional wavelet transform,” Journal of King Saud University - Computer and Information Sciences, 2016. View at: Publisher Site | Google Scholar
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