• Dr. Sangramsing Nathusing Kayte

    Data Scientist: Natural Language Processing & Machine Learning

about me

Dr. Sangramsing Nathusing Kayte and I'm currently working as a Data Scientist in Natural Language Processing at Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark. In this work along with enriching myself with foreign working culture, my future vision is to build different NLP models that involve the use of Generative Adversarial Networks, Recurrent Neural Network, Long short-term memory, etc. My research is focused on areas of Machine Learning and Natural Language Processing.

I have been awarded a Ph.D. (Computer Science) from the Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India. Also in my academics, I have completed Master of Philosophy (M.Phil.) in Computer Science, Master of Science (M.Sc.) in Information Technology, and Bachelor of Science (B.Sc) degree from the same university. I have played a crucial role as project staff for the SERB-DST sponsored project entitled “Design and development of Audio Speech synthesis (ASS) system for the Marathi language” in my research experience.

As I am specialized in the speech synthesis domain, I have deep knowledge about the framework of different synthesis techniques like Concatenative, Parametric methods. In both of these areas, the definition of the unit of speech is crucial, both typically use context-dependent phonemes or diphones. Currently, I am exploring more about Deep Learning, and Generative Adversarial Networks with a focus on developing unsupervised deep learning to model human speech recognition and perception.

Apart from research experience, I am also an active member of the International Speech Communication Association (ISCA) and Reviewer of IEEE Access: The Multidisciplinary Open Access Journal and Asian Journal of Research in Computer Science SCIENCEDOMAIN, Information Engineering and Applied Computing (Editorial Team Member). In my free time, I enjoy spending time with my friends, photographing architecture, exploring urban areas, enjoying a good mystery book or action movies, and doing puzzles. I am fluent in different languages like English, Hindi, Marathi, Rajasthani, Gujarati and currently learning Danish.

Doctor of Philosophy

I have completed a Ph.D. (Computer Science) from the Department of Computer Science and Information Technology, Dr. BAMU University, Aurangabad, Maharashtra, India.

Thesis Available


Master of Philosophy

I have also received a Master of Philosophy (M.Phil.) in Computer Science, Master of Science (M.Sc.) in Information Technology, and Bachelor of Science (B.Sc) degree from the same university.

Thesis Available

Experience

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Postdoctoral Research Fellow (Natural language processing)

Institute: University of Southern Denmark

Description: The primary aim of the Postdoc Research involves the collection of Tender based database and proposes a new method of automatized text generation and subsequent classification of the European Union Tender Electronic Daily, text documents into predefined technological categories of the dataset. I implemented a neural machine learning model based on Long Short-Term Memory and Recurrent Neural Network nodes for text generation and subsequent code classification.

January 2019 - Present
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Team Lead: - Principle Applied Scientist-NLP

Company: Elevare Systems.AI,T-Hub Hyderabad

Description: Team Lead (Natural Language Processing and Automatic Speech Recognition):- Coach is a term synonymous with mentor, guide, buddy and so many other names, demonstrating the bond between coach and an individual. Coachworks towards, overall improvement of an individual, especially, lifestyle. Just like a real-world coach, we are developing a voice based virtual assistant, for obesity management. We also call it COACH, who will nudge an individual to lead a healthy lifestyle, by following diet and exercise plans, given by his/ her dietitian/ doctor/ lifestyle expert. It knows your likes and dislikes, understands your personality and also what is best for you, thus acts as a buddy and mentor, who will always think good of you. Yes, just like humans, he can make mistakes too, but is a “quick learner”

1 January 2018 - December 2018
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Machine Learning Research Assistant

Institute: Dr. Babasaheb Ambedkar Marathwada University

Description: A Major Research Project DST, Govt. of India, sponsored project on "Design and development of Audio Speech synthesis (ASS) system for the Marathi language. Primary Role:- To create Text-To-Speech synthesizer in English language, with the help of FESTIVAL and CMU arctic speech database and visibility through publications.

January 2013 to December 2017
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Machine Learning Research Assistant

Institute: Dr. Babasaheb Ambedkar Marathwada University

Description: I have worked as a Research Assistant in a Major Research Project DST, Govt. of India, sponsored project on “Development of Multi-Resolution Analysis Technique for Early Detection of Non-Proliferative Diabetic Retinopathy without using Angiography”. We present a method for automatic detection and identify Normal, Non- Proliferative diabetic retinopathy and Proliferative retinopathy from color fundus images. The results showed a sensitivity of 95% for the classifier and specificity of 95.6%. Project Principal Investigator: Dr. Ramesh R. Manza, Department of Computer Science and \Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India.

December 2011 to December 2012

Publication

  1. Sangramsing N. Kayte, Monica Mundada A Corpus-Driven Marathi Text-To-Speech System Based On The Concatenative Synthesis Approach International Journal of Engineering Research and General Science Volume 4, Issue 1, January-February, 2016 ISSN 2091-2730.pdf    pdf
  2. Sangramsing N. Kayte, Monica Mundada Analysis of Speech and its Fluency Disorders International Journal of Applied Information Systems (IJAIS) ISSN: 2249-0868 Foundation of Computer Science FCS, New York, USA Volume 10? No.4, January 2016. pdf    pdf
  3. Sangramsing N. Kayte, Extraction of Speech Parameters from Speech Database using Festival International Journal of Computer Applications (0975 8887) Volume 134 No.13, January 2016. pdf    pdf
  4. Sangramsing N. Kayte, Bharti Gawali. Analysis of Pitch and Duration in Speech Synthesis using PSOLA. s Communications on Applied Electronics 4(4):10-18, February 2016. Published by Foundation of Computer Science (FCS), NY, USA. pdf    pdf
  5. Sangramsing N. Kayte, Monica Mundada Study of Marathi Phones for Synthesis of Marathi Speech from Text International Journal of Emerging Research in Management and Technology ISSN: 2278-9359 (Volume-4, Issue-10) October 2015 (Impact Factor: 1.492).pdf   pdf
  6. Sangramsing N. Kayte, Monica Mundada, Dr. Charansing Kayte Di-phone-Based Concatenative Speech Synthesis System for Hindi International Journal of Advanced Research in Computer Science and Software Engineering -Volume 5, Issue 10, October-2015 (Impact Factor: 2.5).pdf    pdf
  7. Sangramsing N. Kayte, Monica Mundada, Dr. Charansing Kayte A Review of Unit Selection Speech Synthesis International Journal of Advanced Research in Computer Science and Software Engineering - Volume 5, Issue 10, October-2015(IF 2.5).pdf    pdf
  8. Sangramsing N. Kayte, Monica Mundada, Dr. Charansing Kayte Di-phone-Based Concatenative Speech Synthesis Systems for Marathi Language OSR Journal of VLSI and Signal Processing (IOSR- JVSP) Volume 5, Issue 5, Ver. I (Sep ?Oct. 2015), PP 76-81e-ISSN: 2319 4200, p-ISSN No. : 2319 ?4197. pdf    pdf
  9. Sangramsing N. Kayte, Monica Mundada, Dr. Charansing Kayte Performance Calculation of Speech Synthesis Methods for Hindi language IOSR Journal of VLSI and Signal Processing (IOSR-JVSP) Volume 5, Issue 6, Ver. I (Nov -Dec. 2015), PP 13-19e-ISSN: 2319 ?4200, p-ISSN No. : 2319 4197.pdf    pdf
  10. Sangramsing N. Kayte, Monica Mundada, Dr. Charansing Kayte A Corpus-Based Concatenative Speech Synthesis System for Marathi IOSR Journal of VLSI and Signal Processing (IOSR-JVSP) Volume 5, Issue 6, Ver. I (Nov -Dec. 2015), PP 20-26e-ISSN: 2319 ?4200, p-ISSN No. : 2319 4197.pdf    pdf
  11. Sangramsing N. Kayte, Monica Mundada, Dr. Charansing Kayte " A Marathi Hidden-Markov Model-Based Speech Synthesis System IOSR Journal of VLSI and Signal Processing (IOSR-JVSP) Volume 5, Issue 6, Ver. I (Nov -Dec. 2015), PP 34-39e-ISSN: 2319 ?4200, p-ISSN No. : 2319 4197.pdf    pdf
  12. Sangramsing N. Kayte, Monica Mundada, Dr. Charansing Kayte Implementation of Marathi Language Speech Databases for Large Dictionary IOSR Journal of VLSI and Signal Processing (IOSR-JVSP) Volume 5, Issue 6, Ver. I (Nov -Dec. 2015), PP 40-45e-ISSN: 2319 4200, p-ISSN No. : 2319 4197.pdf    pdf
  13. Sangramsing N. Kayte, Monica Mundada, Jayesh Gujrathi, "Hidden Markov Model-based Speech Synthesis: A Review" International Journal of Computer Applications (0975 8887) Volume 130 No.3, November 2015.pdf    pdf
  14. Sangramsing N. Kayte, Monica Mundada, Dr. Charansing Kayte Performance Evaluation of Speech Synthesis Techniques for Marathi Language International Journal of Computer Applications (0975 8887) Volume 130 No.3, November 2015.pdf    pdf
  15. Sangramsing N. Kayte, Monica Mundada, Dr. Charansing Kayte Screen Readers for Linux and Windows Concatenation Methods and Unit Selection based Marathi Text to Speech System International Journal of Computer Applications (0975 8887) Volume 130 No.14, November 2015.pdf    pdf
  16. Sangramsing N. Kayte, Monica Mundada, Dr. Charansing Kayte Speech Synthesis System for Marathi Accent using FESTVOX International Journal of Computer Applications (0975 8887) Volume 130 No.6, November 2015.pdf    pdf
  17. Sangramsing N. Kayte, Monica Mundada, Dr. Charansing Kayte Marathi Text-To-Speech Synthesis using Natural Language Processing IOSR Journal of VLSI and Signal Processing (IOSR-JVSP)Volume 5, Issue 6, Ver. I (Nov -Dec. 2015), PP 63-67e-ISSN: 2319 4200, p-ISSN No. : 2319 4197.pdf    pdf
  18. Sangramsing N. Kayte, Monica Mundada, Dr. Charansing N. Kayte, Dr.Bharti Gawali Transformation of feelings using pitch parameter for Marathi speech Sangramsing Kayte Int. Journal of Engineering Research and Applications ISSN: 2248-9622, Vol. 5, Issue 11, (Part -4) November 2015, pp.120-124.pdf    pdf
  19. Sangramsing N. Kayte, Monica Mundada, Dr.Bharti Gawali Duration for Classification and Regression Tree for Marathi Text-to-Speech Synthesis System Sangramsing Kayte Int. Journal of Engineering Research and Applications ISSN: 2248-9622, Vol. 5, Issue 11, (Part-4) November 2015.pdf    pdf
  20. Sangramsing N. Kayte, Monica Mundada, Dr. Charansing N. Kayte, Dr.Bharti Gawali Grapheme-To-Phoneme Tools for the Marathi Speech Synthesis Sangramsing Kayte et al.Int. Journal of Engineering Research and Applications ISSN: 2248-9622, Vol. 5, Issue 11, (Part -4) November 2015, pp.86-92.pdf    pdf
  21. Sangramsing N. Kayte, Monica Mundada, Dr. Charansing N. Kayte, Dr.Bharti Gawali Approach To Build A Marathi Text-To-Speech System Using Concatenative Synthesis Method With The Syllable Sangramsing Kayte et al.Int. Journal of Engineering Research and Applications ISSN: 2248-9622, Vol. 5, Issue 11, (Part-4) November 2015, pp.93-97.pdf    pdf
  22. Sangramsing N. Kayte, Monica Mundada, Dr. Charansing N. Kayte, Dr.Bharti Gawali Automatic Generation of Compound Word Lexicon for Marathi Speech Synthesis IOSR Journal of VLSI and Signal Processing (IOSR-JVSP)Volume 5, Issue 6, Ver. II (2015), PP 25-30e-ISSN: 2319 4200, p-ISSN No. : 2319 4197.pdf    pdf
  23. Sangramsing N. Kayte, Monica Mundada, Dr. Charansing N. Kayte, Dr.Bharti Gawali Artificially Generated Concatenative Syllable-based Text to Speech Synthesis System for Marathi OSR Journal of VLSI and Signal Processing (IOSR-JVSP) Volume 5, Issue 6, Ver. II (2015), PP 44-49e-ISSN:2319 4200, p-ISSN No. : 2319 4197.pdf    pdf
  24. Sangramsing N. Kayte, Monica Mundada, Dr. Charansing N. Kayte, Dr.Bharti Gawali Automatic Generation of Compound Word Lexicon for Marathi Speech Synthesis OSR Journal of VLSI and Signal Processing (IOSR-JVSP) Volume 5, Issue 6, Ver.II ( 2015), PP 25-30e-ISSN: 2319 4200, p-ISSN No. : 2319 4197.pdf    pdf
  25. Sangramsing N. Kayte, Monica Mundada, Dr. Charansing N. Kayte, Dr.Bharti Gawali Implementation of Text To Speech for Marathi Language Using Transcriptions Concept Sangramsing N. Kayte et al. Int. Journal of Engineering Research and Applications ISSN: 2248-9622, Vol. 5, Issue 11, (Part - 5) Nov 2015, pp.33-36. pdf    pdf
  26. Sangramsing N. Kayte, Monica Mundada, Dr. Charansing N. Kayte, Dr.Bharti Gawali Rule-based Prosody Calculation for Marathi Text-to-Speech Synthesis Sangramsing N. Kayte et al. Int. Journal of Engineering Research and Applications ISSN: 2248-9622, Vol. 5, Issue 11, (Part - 5) November 2015, pp.33-36. pdf    pdf
  27. Sangramsing N. Kayte, Monica Mundada, Dr. Charansing N. Kayte, Dr.Bharti Gawali Approach To Build A Marathi Text-To-Speech System Using Concatenative Synthesis Method With The Syllable Journal of Engineering Research and Applications ISSN: 2248-9622, Vol. 5, Issue 11, (Part - 4) Nov 2015, pp.93-97. pdf    pdf
  28. Sangramsing N. Kayte, Dr.Bharti Gawali The Marathi Text-To-Speech Synthesizer Based On Artificial Neural Networks International Research Journal of Engineering and Technology (JET) e-ISSN: 2395-0056 Volume: 02 Issue: 08| Nov-2015-ISSN: 2395-0072.pdf    pdf
  29. Sangramsing N. Kayte, Dr.Charansing N. Kayte, Dr.Bharti Gawali The Heart of Generating Hidden Markov Model Which Are Essential For Synthesis Journal Of Modern Engineering Research (IJMER) International OPEN ACCESS|ISSN: 22496645 Vol. 5 | Iss.12| December 2015 | 26.pdf    pdf
  30. Sangramsing N. Kayte, Dr.Charansing N. Kayte, Dr.Bharti Gawali The Prosody Subsystem and Pitch Pattern for Marathi Text To Speech Synthesis International Journal Of Modern Engineering Research (IJMER) OPEN ACCESS| ISSN: 22496645 |Vol. 5 | Iss. 12| December 2015 | 26. pdf    pdf
  31. Sangramsing N. Kayte, Bharti Gawali A Text-To-Speech Synthesis for Marathi Language using Festival and Festvox International Journal of Computer Applications (0975 8887)Volume 132 No.3, December 2015.pdf    pdf
  32. Sangramsing N. Kayte, Text To Speech for Marathi Language using Transcriptions Theory. International Journal of Computer Applications 131(6):39-41, December 2015. Published by Foundation of Computer Science (FCS), NY, USA.pdf    pdf
  33. Sangramsing N. Kayte, Festival and Festvox Framework Tools for Marathi Text-to-Speech Synthesis International Journal of Computer Applications 132(4):38-43, December 2015. Published by Foundation of Computer Science (FCS), NY, USA. pdf    pdf
  34. Sangramsing N. Kayte, Monica Mundada Overview of Hidden Markov Model for Test-To-Speech Synthesis Methods International Journal Of Engineering And Computer Science ISSN:2319-7242Volume 4 Issue -12 December 2015 Page No.15303-15311. pdf    pdf
  35. Sangramsing N. Kayte, Marathi Speech Recognition System Using Hidden Markov Model Toolkit International OPEN ACCESS Journal Of Modern Engineering Research (IJMER) | IJMER | ISSN: 2249?6645 || Vol. 5 | Iss. 12 | December 2015|13|.pdf    pdf
  36. Sangramsing N. Kayte, Charansing N Kayte, and Bharti W Gawali. Marathi Synthetic Voice using Synthesizer Modules of Festival Speech and HTS Straight Processing. Communications on Applied Electronics 3(7):9-12, December 2015. Published by Foundation of Computer Science (FCS), NY, USA. pdf    pdf
  37. Sangramsing N. Kayte, Monica Mundada, Dr. Charansing N. Kayte, Dr.Bharti Gawali Approach of Syllable Based Unit Selection Text-To-Speech Synthesis System for Marathi Using Three Level Fall Back Technique IOSR Journal of VLSI and Signal Processing (IOSR-JVSP) Volume 5, Issue 6, Ver. II (Nov -Dec. 2015), PP 31-35 e-ISSN: 319 4200, p-ISSN No. : 2319 4197.pdf    pdf
  38. Monica Mundada, Sangramsing N. Kayte and Dr. Bharti Gawali "Classification of Fluent and Dysuent Speech Using KNN Classier" International Journal of Advanced Research in Computer Science and Software Engineering Volume 4, Issue 9, September 2014. pdf    pdf
  39. Monica Mundada, Dr. Bharti Gawali, Sangramsing N. Kayte Recognition and classification of speech and its related agency disorders International Journal of Computer Science and Information Technologies (IJCSIT) (IF 3.32) pdf    pdf
  40. Sangramsing N. Kayte, Dr. Bharti Gawali Marathi Speech Synthesis: A review International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Vol: 3 Iss: 6 (IF 5.83).pdf    pdf
  1. Sangramsing N. kayte and Peter Schneider-Kamp “A Mixed Neural Network and Support Vector Machine Model for Tender creation in the European Union TED Database", KMIS 11th International Conference on Knowledge Management and Information Systems, Vienna, Austria 17-19, September 2019.
  2. Sangramsing N. kayte and Peter Schneider-Kamp"A Neural NLP Framework for an Optimized UI for Creating Tenders in the TED Database of the EU", 9th Ninth International Conference on Ambient Computing, Applications, Services and Technologies, 22 to 26 September 2019, Porto, Portugal.
  3. Swapnil Waghmare,Sangramsing N. kayte and Ratnadeep Deshmukh "Design and Development of Stuttered and Autism Spectrum Disorder Speech Database for Marathi Language" The 22nd Conference of the Oriental, International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (COCOSDA), University of San Carlos,Gov. M. Cuenco Ave. Cebu City, Philippines 2019
  4. Swapnil Waghmare,Sangramsing N. kayte and Ratnadeep Deshmukh"Analysis of Fundamental Frequency, Jitter and Shimmer in Stuttered and Non-Stuttered Speech of Marathi Language" International Conference on Communication and Information Processing (ICCIP-2019) Available on: Elsevier-SSRN, PUNE, INDAI, pp.1-8.
  5. Sangramsing. N, Kayte and Monica Mundada, "Post-Processing using Speech Enhancement Techniques for Unit Selection and Hidden Markov Model-based Low Resource Language Marathi Text-to-Speech System", in 6th Int. Workshop on Spoken Language Technologies for Under-resourced Languages(SLTU'18), Gurugram, India on 29-31 August 2018.pdf  pdf  Certificate
  6. Monica Mundada, Sangramsing. N, Kayte and Pradip K. Das, Implementation of Concatenation Technique for Low Resource Text-To-Speech System-based on Marathi Talking Calculator”, in 6th Int. Workshop on Spoken Language Technologies for Under-resourced Languages(SLTU'18), Gurugram, India on 29-31 August 2018.pdf  pdf
  7. Kayte Charansing.N, Sangramsing. N, Kayte Dynamic Programming Algorithms in Speech Recognition, 100th Indian Science Congress, Kolkata-2013.pdf  pdf
  8. Sangramsing N. Kayte "Marathi Isolated-Word Automatic Speech Recognition System based on Vector Quantization (VQ) approach 101th Indian Science Congress Jammu University 3th Feb to 07 Feb 2014.
  1. Sangramsing. N, Kayte "Tracking the website real-time activity using google analytics 3rd National Conference on Emerging and Innovation Trends in Computer Science, NCEITCS-01-02 April 2014.
  2. Monica Mundada, Sangramsing N. Kayte Classification of speech and its related agency disorders Using KNN ISSN2231-0096 Volume-4 Number-3 Sept 2014.
  3. Sangramsing N. Kayte Bharatratna P.Gaikwad, "Design and Development of Non- Proliferative Diabetic Retinopathy Detection Technique using Image Features Extraction Techniques National" Conference in Advances in computing (NCAC13), 05-06 March 2013."
  1. Sangramsing N. Kayte and Bharti Gawali “Text-To-Speech Synthesis System Using Concatenation Technique" Scholars’ Press, eBook ISBN: 9786138831426, April 2019,pp-1-105. .
  2. Sangramsing Kayte, Jaypalsing Kayte, Charansing Kayte "Non-Proliferative Diabetic Retinopathy Detection By Digital R-Images" Scholars’ Press, ISBN-13:6138830407, 2019-04-23. pp-1-108..
  1. Sangramsing N. kayte and Peter Schneider-Kamp, “A Mixed Neural Network and Support Vector Machine Model for Tender creation in the European Union TED Database", Communications in Computer and Information Science (CCIS) Series published by Springer 2019
  2. Sangramsing N. Kayte, Monica Mundada, Santosh Gaikwad and Bharti Gawali "Performance Evaluation of Speech Synthesis Techniques for English Language" Springer Science+Business Media Singapore 2016 S.C. Satapathy et al. (eds.), Proceedings of the International Congress on Information and Communication Technology, Advances in Intelligent Systems and Computing 439, DOI 10.1007/978-981-10-0755-2-27. pdf  pdf
  3. Sangramsing N. Kayte Siddharth B. Dabhade, Bharatratna P. Gaikwad, "Design and Development for Detection of Blood Vessels, Microneurysms and Exudates from the Retina", Proceedings of the National Conference on Advancements in the Era of Multi-Disciplinary Systems (AEMDS-2013), Elsevier Publications 2013, ISBN: 978-93-5107- 057-3, PP .394.pdf Thesis Available  pdf
  1. Sangramsing N. kayte, Monica Mundada and Santosh K Maher "Low Resource Languages for Text-to-Speech Synthesis System: Survey" submitted for possible publications in INTERSPEECH, Shanghai, China, 2020.
  2. Sangramsing N. kayte, Monica Mundada, Santosh K Maher and Pradip K. Das "Comparison of Signal Alignment for Text-to-Speech Synthesized Speech using Dynamic Time Warping" submitted for possible publications in INTERSPEECH, Shanghai, China, 2020.
  3. Sangramsing N. kayte, Monica Mundada and Santosh K Maher Text-to-speech Synthesis using Generative Adversarial Network for Low Resource Indian Language" submitted for possible publications in INTERSPEECH, Shanghai, China, 2020.
  4. Sangramsing N. kayte, Monica Mundada and Santosh K Maher Hidden Markov Model and Deep Neural Network-based on Text-to-Speech Synthesis for Low Resource Language" submitted for possible publications in INTERSPEECH, Shanghai, China, 2020.
  5. Sangramsing N. kayte, Monica Mundada and Santosh K Maher A Framework for Multilingual Text-to-Speech Synthesis System for Low Resource Languages" submitted for possible publications in INTERSPEECH, Shanghai, China, 2020.
  6. Santosh Maher, Sangramsing Kayte and Sunil Nimbhore Chatbots & It's Techniques using AI : A Review" submitted for possible publications in The 3rd International Conference on Recent Trends in Image Processing & Pattern Recognition", University of South Dakota, USA, January 03 - 04, 2020.
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Team

Active Professional Membership

International Speech Communication Association (ISCA) (Membership no 16479)

Institute of Electrical and Electronics Enginners (IEEE) (Membership no 94954265)

International Association of Engineers and Computer Scientists, Hong Kong (membership number 133848)

Institute of Research Engineers and Doctors (Membership no AM101000657).

Thesis

Sangramsing Kayte (12 Oct-2017) Text-to-Speech Synthesis System for Marathi Language using concatenation technique. Ph.D. by Research Thesis. Department Computer Science and Information Technology, Dr.Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India.

Sangramsing Kayte (26 Oct-2013) Design and Development of Non-Proliferative Diabetic Retinopathy Detection Technique using Image Feature Extraction Techniques. Post-Masters (M.Phil.) by Research Dissertation. Department Computer Science and Information Technology, Dr.Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India.

Sangramsing Kayte (Mar-2010) Online Toll-Plaza Management. Masters (M.Sc) by Research Dissertation. Department Computer Science and Information Technology, Dr.Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India.

Awards

Education


University:-University of Southern Denmark

Field:-Natural language processing and Natural Language Understanding using Machine Language Algorithms)

Duration:-Currently Pursuing

Data Scientist-Natural Language Processing at Department of Mathematics & Computer Science, University of Southern Denmark. In this Work, I propose a new method of automatized text generation and subsequent classification of the European Union, Tender Electronic Daily, text documents into predefined technological categories of the dataset. The Tender dataset provides information about the respective tenders includes features name of project, Title, Description, Types of contract, Common procurement vocabulary (CPV) code. The dataset is obtained from the SIMAP-Information system for the European public procurement website. The dataset was pre-processed using Tokenization, Removal of Stop Words, Removal of Punctuation Marks etc. We implemented a neural machine learning model based on Recurrent neural network and Long Short-Term Memory nodes for text generation and subsequent code classification. Text generation means that given a single line or just two or three to four words of the title, the model generates the sequence of a whole sentence. After generating the title, the model predicts the main applicable CPV code for that title. The LSTM model reaches an accuracy of 97% for the Text generation and 95% for code classification.

University:-Dr. Babasaheb Ambedkar Marathwada University, Aurangabad

Field:-Computer Science

A Major Research Project DST, Govt. of India, sponsored project on "Design and development of Audio Speech synthesis (ASS) system for the Marathi language. Primary Role:- To create Text-To-Speech synthesizer in English language, with the help of FESTIVAL and CMU arctic speech database and visibility through publications.

Projects:

To develop a Speech Synthesis System in the Marathi language of Maharashtra state.

To Analyses of the performance of Speech Synthesis voice for the Marathi Language.

To develop general-purpose Text-to-Speech Synthesis application in the Marathi language.

Responsibilities:

1) To recording a suitable amount of data this can be used to build a practical system. Data must cover speech utterances of all the languages spoken in Maharashtra state. Moreover, data must be recorded in the practical scenarios.

2) Transcribing the collected data. To develop the language TTS model, the collected data must be transcribed carefully. Transcription has to be done manually according to very specific rules to ensure the proper functioning of the system.

3) To develop a Text-to-Speech system this is noise robust and capable of handling diverse environmental conditions. Making the system noise robust is quite a challenging task provided that data contains diverse types and amount of noise.

4) To develop and Marathi Talking Calculator system which can be deployed for practical use.

Duration:-2014 to 2018

University:-Dr. Babasaheb Ambedkar Marathwada University, Aurangabad

Field:-Computer Science

Duration:-2010 to 2013

University:-Dr. Babasaheb Ambedkar Marathwada University, Aurangabad

Field:-Information Technology

Duration:-2008 to 2010

Research


Generative Adversarial Networks (GAN) -based text-to-speech (TTS) Synthesized samples

1. प्रयाग विश्वविद्यालय में अध्यापन के दौरान हिंदी साहित्य कोश के सम्पादन में सहयोग दिया

2. Speech Vision Laboratory

3. Language Translation Research Center

Deep Neural Networks(DNN)-based text-to-speech (TTS) Synthesized samples

1. कहि न जाइ अति दुर्ग बिसेषी

2. देहु भगति रघुपति अति पावनि

3. अतः यहां के ग्रामीण मैथिली को अपने मातृभाषा के रूप में प्रयोग करते हैं

4. अपोलो अभियान इस यात्रा का पहला कदम

5. उत्तर और पश्चिम के बीच की दिशा

Deep Neural Networks (DNN) -based text-to-speech (TTS) Synthesized samples.


1. McCoy found a stifling, poisonous atmosphere in the pent cabin.

2. That Longfellow chap most likely had written countless books of poetry.

3. They are greatly delighted with anything that is bright or giveth a sound.

4. He considered the victory already his and stepped forward to the meat

5. This tacit promise of continued acquaintance gave Saxon a little joy-thrill.

6. It seemed nearer to him since he had seen and talked with Gregson. A combination of Canadian capital quickly organized and petitioned for the same privileges. I was about to do this when cooler judgment prevailed. Since then some mysterious force has been fighting us at every step.