M.Sc. in Computer Science, Ph.D in Computer Science
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Science, Speech and Hearing, Computer Vision and Pattern Recognition, Computer Science Applications
3
Scopus Publications
7
Scholar Citations
2
Scholar h-index
Scopus Publications
Automatic Speech Recognition System for Ahirani Language Using HMM in Speaker Dependent Environment Sunil Patil, Chandrashekhar H. Patil, Meenal Jabde, Vikas Mahandule Lecture Notes in Networks and Systems, 2026 In the field of computer science speech recognition play vital role. Speech is nothing but primary means of communication in the field of speech recognition. This paper described a Framework for identifying speakers of isolated vocabulary of Ahirani spoken language. In this research article main focused is on Ahirani spoken language which is spoken in Maharashtra state from Khandesh Region. Speech database is collected from native speakers. Database is consisting of 300 Spoken Ahirani isolated words. Hidden Markov Model is used with Gaussian Mixture Model. Mel – Frequency Cepstral Coefficient (MFCC) is used as speech feature extraction method. Total 39 MFCC features are extracted. Using HMM mixing with Gaussian mixture is the first step towards to develop IVRS system for Spoken language. Experimental work is performed using four native speakers. Model is trained in speaker dependent environments. Word error rate is calculated 3.46%.
Brain Tumor MRI Classification 15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
Automatic speech recognition (ASR) system for isolated marathi words: Using HTK , Sunil B. Patil, Nita V. Patil, , Ajay S. Patil*, and International Journal of Innovative Technology and Exploring Engineering, 2019 The present manuscript focuses on building automatic speech recognition (ASR) system for Marathi language (M-ASR) using Hidden Markov Model Toolkit (HTK). The M-ASR system gives the detail about experimentation and implementation using the HTK Toolkit. In this work total 106 speaker independent Marathi isolated words were recognized. These unique Marathi words are used to train and evaluate M-ASR system. The speech corpus (database) is created by us using isolated Marathi words uttered with mixed gender people. The system uses Mel Frequency Cepstral Coefficient (MFCC) for the purpose of extracting features using Gaussian mixture model (GMM). Viterbi algorithm based on token passing is used for decoding to recognize unknown utterances. The proposed M-ASR system is speaker independent. The proposed system has reported 96.23% word level recognition accuracy.
RECENT SCHOLAR PUBLICATIONS
Role of Digital Reminder Systems in Improving Personal Healthcare Habits. DVM Rutuja Wabale , Rutika Das , Dr. Sunil Patil JOURNAL OF ADVANCE AND FUTURE RESEARCH 4 (4), 544-554 , 2026 2026.0
Automatic Speech Recognition System for Ahirani Language Using HMM in Speaker Dependent Environment S Patil, CH Patil, M Jabde, V Mahandule International Conference on Intelligent Vision and Computing, 67-78 , 2025 2025.0
Development of ASR system based on isolated words of Ahirani spoken language: A Dialect of Khandesh Sunil Patil, Nita Patil and, Ajay Patil Our Heritage 68 (27), 132-139 , 2020 2020.0
Speakar-Independent Isolated Word Recognition using HTK for Varhadi – a Dialect of Marathi ASP Sunil B. Patil, Nita V. Patil International Journal of Engineering and Advanced Technology (IJEAT) 9 (3 … , 2020 2020.0 Citations: 5
Development of Isolated Malvani Spoken Word ASR System based on Hidden Markov Model ASP Sunil B. Patil,Nita V. Patil International Journal of Computer Research & Technology 5 (2), 241-244 , 2019 2019.0
Automatic Speech Recognition (ASR) System for Isolated Marathi Words: Using HTK ASP Sunil B. Patil, Nita V. Patil International Journal of Innovative Technology and Exploring Engineering … , 2019 2019.0
Brain Tumor MRI Classification. CH Patil, SB Patil, PT Raut, K Borkar, S Rawade 2015.0
Automatic Speech Recognition (ASR) System for Isolated Marathi Words: Using HTK SB Patil, NV Patil, AS Patil International Journal of Innovative Technology and Exploring Engineering … , 0 Citations: 2
MOST CITED SCHOLAR PUBLICATIONS
Speakar-Independent Isolated Word Recognition using HTK for Varhadi – a Dialect of Marathi ASP Sunil B. Patil, Nita V. Patil International Journal of Engineering and Advanced Technology (IJEAT) 9 (3 … , 2020 2020.0 Citations: 5
Automatic Speech Recognition (ASR) System for Isolated Marathi Words: Using HTK SB Patil, NV Patil, AS Patil International Journal of Innovative Technology and Exploring Engineering … , 0 Citations: 2
Role of Digital Reminder Systems in Improving Personal Healthcare Habits. DVM Rutuja Wabale , Rutika Das , Dr. Sunil Patil JOURNAL OF ADVANCE AND FUTURE RESEARCH 4 (4), 544-554 , 2026 2026.0
Automatic Speech Recognition System for Ahirani Language Using HMM in Speaker Dependent Environment S Patil, CH Patil, M Jabde, V Mahandule International Conference on Intelligent Vision and Computing, 67-78 , 2025 2025.0
Development of ASR system based on isolated words of Ahirani spoken language: A Dialect of Khandesh Sunil Patil, Nita Patil and, Ajay Patil Our Heritage 68 (27), 132-139 , 2020 2020.0
Development of Isolated Malvani Spoken Word ASR System based on Hidden Markov Model ASP Sunil B. Patil,Nita V. Patil International Journal of Computer Research & Technology 5 (2), 241-244 , 2019 2019.0
Automatic Speech Recognition (ASR) System for Isolated Marathi Words: Using HTK ASP Sunil B. Patil, Nita V. Patil International Journal of Innovative Technology and Exploring Engineering … , 2019 2019.0
Brain Tumor MRI Classification. CH Patil, SB Patil, PT Raut, K Borkar, S Rawade 2015.0
