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Asst.Professor, Electronics & Telecommunication
JSPM's Rajarshi Shahu College of Engineering Pune
15 Year of Experience in teaching .
6 International Paper 5 National Paper published
Product Development ,Software development Speech Processing
Product for agriculture
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International Journal of Advanced Science and Technology, ISSN: 20054238, eISSN: 22076360, Pages: 702-712, Published: 3 May 2020
Pravin M. Ghate and Suresh D. Shirbahadurkar
Lecture Notes in Networks and Systems, ISSN: 23673370, eISSN: 23673389, Pages: 615-624, Published: 2019 Springer Singapore
The objective of speech synthesis is to convert text into speech, using the syllable got best the results in term quality speech. Speech processing plays important role in human–machine interaction. Syllable segmentation is done using the different parameters like cutoff frequency, amplitude, the magnitude of speech input signal. The proposed paper suggests a method of syllable segmentation; it converts the syllable representation to modified syllable waveform clips that can be combined together to produce as sound . Syllables are a better choice for speech synthesis in Marathi language. We do manually identify, segment, and label syllable units from speech data for experiment purpose . The concatenative speech synthesis methods provide highly understandable speech utterance.
Pravin M Ghate and S. D. Shirbhadurkar
IEEE International Conference on Power, Control, Signals and Instrumentation Engineering, ICPCSI 2017, Pages: 1905-1907, Published: 20 June 2018 IEEE
Ganesh C. Patil, Santosh C. Wagaj, and Pravin M. Ghate
11th IEEE India Conference: Emerging Trends and Innovation in Technology, INDICON 2014, Published: 3 February 2015 IEEE
Recently, significant work has been carried out to develop a technology based on 4H-SiC semiconductors aimed to utilize the unique physical and electrical properties of this material to achieve improved performance in high-power and high-temperature electronic circuits. This work is an effort to develop an analytical model for the 4H-SiC based n-channel enhancement mode MOSFET (NMOS). Here, a simple SPICE level-1 model of Si MOSFET has been modified to express the I-V characteristics of 4H-SiC MOSFET at the temperature ranging from 250 to 4000 °C. The model has been developed by using the verilog-AMS coding in which the thermal effects on intrinsic carrier density, band-gap, channel mobility and the threshold voltage have been incorporated. The performance of a differential amplifier based on this model has also been evaluated. It has been found that, in comparison to Si NMOS differential amplifier, the amplifier based on 4H-SiC MOSFET is more thermally stable. This clearly shows the suitability of the 4H-SiC MOSFET for harsh environment electronic circuits where Si MOSFET can not with stand.
P. M. Ghate, Shraddha Chadha, Aparna Sundar, and Ankita Kambale
Advances in Intelligent Systems and Computing, ISSN: 21945357, Volume: 174 AISC, Pages: 1037-1044, Published: 2013 Springer India
The proposed work provides a description of an Automatic Speaker Recognition System (ASR). It particularly documents all the stages involved in the proposed ASR system starting from the preprocessing stage to the decision making stage. The main aim of this work is to achieve a system with high robustness and user friendly. Voice samples from three different users are used as acoustic material. Feature extraction is done by computing Mel Frequency Cepstral Coefficients (MFCC) which is used to create reference template. For the purpose of feature matching, Dynamic Time Warping (DTW) algorithm is used wherein DTW distance is computed between the test signal and the reference signal. Decision is made by comparing the distance with a predefined threshold value.
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