Surendra Shetty

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AIM The study was undertaken to measure the changes within the mesh pad associated with reconditioning process, measure the bond strength of new and reconditioned orthodontic brackets and correlate the changes in mesh strand diameter with changes in bond strength. MATERIAL AND METHODS 120 clinically normal premolar teeth extracted for orthodontic reasons,(More)
Multiple Classifier System (MCS) is designed by combining two or more classifiers. MCS helps in increasing the accuracy of classification compared to the performance of the individual classifier. In this paper, Multiple Classifier System is implemented for automatic speech recognition. The combined classifier takes the final decision on predicted class(More)
Automatic Speech Recognition (ASR) involves mainly two steps; feature extraction and classification (pattern recognition). Mel Frequency Cepstral Coefficient (MFCC) is used as one of the prominent feature extraction techniques in ASR. Usually, the set of all 12 MFCC coefficients is used as the feature vector in the classification step. But the question is(More)
Music Information Retrieval (MIR) focuses on retrieving useful information from collection of music. The objective of research work in this paper is to explore clustering approaches which can be useful in automatically mining the content from Carnatic instrumental music. The content to be retrieved is the instrument that is primarily used to play the song.(More)
Image pre-processing is a basic step for any image based applications. It is a technique to enhance quality of the images captured from cameras or sensors, aircrafts and space probes or pictures taken for various applications in normal day-to-day life. The accuracy of this technique must be significantly high in order to ensure the success of the subsequent(More)
Clustering is an unsupervised technique is used for organizing the data for efficient retrieval. This is mainly used in pattern reorganization and data analysis. Today many cluster analysis techniques are used for data analysis and have proven to be very useful in segmentation. Performance of these algorithms is data dependent. In this paper K-Means and(More)
Feature extraction technique plays an important role in Automatic speech recognition. There are many techniques for extracting the speech features. Capability of various speech features for categorizing speech sounds differs and can be evaluated after applying classification or clustering model. As an alternative approach, a preliminary study (before(More)
A 35-year-old male presented with pain and restriction of movements of right knee of 9 months duration. He underwent open reduction and internal fixation for a coronal plane fracture of medial femoral condyle (Hoffa fracture) in another facility 9 months back. Radiological evaluation showed a malunited isolated medial Hoffa fracture. We did an(More)