R. D. Kanphade

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Accuracy and interpretability are two important objectives in the design of Adaptive Neuro Fuzzy Inference model (ANFIS). In many real word applications, expert experiences usually have good interpretability, but their accuracy is not always the best. Applying expert experiences to ANFIS model can improve accuracy and interpretability. In this study we(More)
ASIC designing for analog mixed-signal ICs is bit complicated and time consuming. Model-based design allows us to complete all design steps for validating the design at the initial stages. In this work a 14 bit, 20 MSamples/s, 85 mW successive approximation analog-to-digital converter (ADC) suitable for use in RF applications is designed. Beginning with a(More)
This paper is concerned with designing speaker recognition systems in Indian languages for tape recorded speech and improving their performance with emphasis on system features. First the baseline ASR system using LP-based features (such as LPC and LPCC) and filter bank based features (such as MFCC) with polynomial classifiers of 2nd or 3rd approximation is(More)
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