Dr. Shweta A. Bansal

Associate Professor – Engineering & Technology

shweta

Interest Area(s)

  • Machine learning
  • Speech and Language Processing
  • Artificial Intelligence
  • Data Science
  • Digital Signal Processing

Dr. Shweta A. Bansal, an accomplished academician and researcher, has over 19  years of experience in technical education and holds a Ph.D. in Natural Language Processing. She is the Head of the CSE Department and an Associate Professor at KR Mangalam University, Gurgaon, where she established a Centre of Excellence in Artificial Intelligence. Dr. Bansal’s research focuses on Natural Language Processing, and she has been actively involved in numerous government-sponsored projects. She has extensively published her work, supervised Ph.D., M.Tech, and B.Tech projects, and mentored both students and junior faculty. Her teaching spans various technical subjects, and she has a strong background in developing and coordinating research projects, mentoring students and faculty, and organizing academic events. She is a member of the IEEE (Delhi Section) and the Acoustical Society of India (ASI), further underscoring her commitment to the field of technical education and research.

  • Ph.D from Ansal University Gurgaon, 2019.
  • M.Tech from Maharishi Dayanand University Rohtak,2011.
  • B.Tech from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, 2002.
  • Associate Professor at K.R.Mangalam University, Gurugram from September 2021 – Till date).
  • HOD, Research & Development at KIIT College of Engineering, 2012 – April 2021.
  • Senior Research Associate at Indira Gandhi Technical University for Women, June 2021-Sep 2021.
  • Assistant professor at KIIT College of Engineering, 2010 – April 2021.
  • Assistant professor at Hitkarini College of Engineering, August 2002 – April 2008.
  • Shweta Bansal, Manisha Jaitly,Shipra Arora, Dr. S.S.Agrawal Comparative Phonological And Prosodic Study Of Hindi Spoken By Native And Non Native Speakers presented and published in proceedings of 15th International conference O-COCOSDA, CASLRE 2012, Macau China (Scopus)
  • Bansal Shweta, Mahajan M., Agrawal,S.S. and Kushwaha, A. “Determination of Linguistic Differences and Statistical Analysis of Large Corpora of Indian Languages,” presented and published in IEEE proceedings of 16th International conference O-COCOSDA, CASLRE 2013, Nov 25-27, pp. 400-404,Gurgaon, India, 2013. ISBN No. 978-1-4799-2379-3.
  • S.Agrawal, Abhimanue and Shweta Bansal “Statistical Analysis of Multilingual Text Corpus and Development of Language Models” presented and published in proceedings/lrec2014, p.p 2436-2440, ELREC 2014, Iceland (Scopus)
  • Dipti Pandey, Shweta Bansal and Dr. Shyam S. Agrawal, “Comparative Performance of Hindi Speaker Identification System Using MFCC and PLP features” presented at O-COCOSDA 2014, p.p 325-330, Phuket, Thailand
  •  Shweta Bansal, Shambhu Sharan, S.S Agrawal, “Corpus Design and Development of an Annotated Speech Database for Punjabi” presented in COCOSDA held on 28-30 October 2015 in Shanghai and published in IEEE explore DOI: 10.1109/ICSDA.2015.7357860
  • Shweta Bansal, Shyam S. Agrawal: “Comparative Acoustic study of Hindi phonemes spoken by native and nonnative speakers” accepted and presented in National Conference on Acoustics for Ocean Environment, organized by National Symposium on Acoustics Goa, 7-9 october2015
  • Shambhu Sharan, Shweta Bansal, Shyam S. Agrawal , “Speaker Independent Recognition System for Continuous Hindi Speech using Probabilistic model” Computer Society of India 2-5th December 2015 New Delhi and published in Springer, Singapore https://doi.org/10.1007/978-981-10-6626-9_10 
  • Shweta Bansal, Shyam S. Agrawal, Arup Saha , Tulika Basu,”Articulatory Classification of Punjabi Consonants using EPG EEG and Nasometer” presented in International conference OCOCOSDA 2016, Bali (IEEE explore)
  • Shweta Bansal, Shyam S. Agrawal, “Development of Text and Speech Corpus for Designing the Multilingual Recognition System” presented in 2018 Oriental COCOSDA – International Conference on Speech Database and Assessments, Miyazaki, Japan, DOI: 10.1109/ICSDA.2018.8693013 (IEEE)
  • Shyam Agrawal, Shweta Bansal, Shweta Sinha ,” Comparative Acoustic-Phonetic Analysis of Retroflex Consonants of Some Indian Languages” in Proceedings of 23rd International Congress on Acoustics, 9-13 Sep 2019, Aachen, Germany, p.p 6871-6878.
  • Shweta Sinha, Shweta Bansal, S.S Agrawal “Acoustic phonetic convergence and divergence between Hindi spoken in India and Nepal”. Satellite Workshop at Interspeech 2019, Pluricentric Languages in Speech Technology, September 14 2019, Graz,Austria
  • Shweta Bansal, Shweta Sinha, S.S Agrawal “Acoustic-Phonetic Approach for ASR of Less Resourced Languages Using Monolingual and Cross-Lingual Information”. Proceedings of the 1st Joint SLTU and CCURL Workshop (SLTU-CCURL 2020), pages 167–171 Language Resources and Evaluation Conference (LREC 2020), Marseille, 11–16 May 202
  • Amita Dev, Shweta Bansal, S.S Agrawal“An Empirical Study of Speaker Identification System for Mono and Traverse Linguistic Background Using EM and SMEM” accepted in 24th Conference of the Oriental COCOSDA to be held on 18-20 November Singapore.
Client Collaborative Institutes Title Year Cost Outcomes Role
SAG, DRDO, New Delhi Corpus Development and Study of Acoustic and Language Specific Features of Indian English, Punjabi and Nepali Jan 2012 to Jun 2013 Rs 9.80 Lacs Text and Speech corpora for 3 languages, Trigram model for Indian English Co- Investigator and Project leader
DIT Sponsored PLS-IL Consortium Project, New Delhi IIT Guhawati TIFR, Mumbai CDAC, Kolkata Manipur University, Guhawati University KIIT Gurugram Development of Pronunciation Lexicon Based on Experimental Study of Phonetics and Phonemic Of Punjabi Language Aug 2012 To June 2015 Rs 2.25 Cr. PLS for Punjabi, Bodo, Manipuri, Marathi languages Acoustic Analysis of Punjabi words Articulatory analysis Co – Investigator and Project leader
SAG, DRDO Spoken Language Identification Using Acoustic and Linguistic Information from the Speech Signal Nov. 2015 to Nov. 2016 Rs 9.8 Lakhs Multilingual Spoken language identification system for Manipuri, Hindi and Urdu using HTK Integrate language model and acoustic model Principal Investigator and Project leader
DIT SPONSORED – CONSORTIUM PROJECT New Delhi IIT,Kharagpur 11411, New Delhi KIIT Gurugram Indian Languages requirements for W3C SSMT M SM. Standards: Based on Hindi, Bengali and Punjabi Languages Aug. 2015 to Aug. 2016 Rs 9.8 Lakhs SSML & BURS standards for Punjabli, Hindi and Bengali Languages. Co-Investigator
DIT SPONSORED – CONSORTIUM PROJECT New Delhi IIT,Kharagpur 11411, New Delhi KIIT Gurugram Indian Language Resources: Based on Hindi, Bengali and Punjabi Indian English Jan. 2017 to Jan. 2019 Rs 2.12 Crore
  • Android based speech recognition system for three languages.
  • Speech synthesizer for Hindi and Bengali.
  • Development of large corpus for three languages.
 Co-Investigator and Project Leader
SAG, DRDO Development for Corpus and PLS for Chinese language Aug. 2019 (one year project) Rs. 9.8 Lakhs Completed Co-Investigator and Project Leader
  • Shweta Bansal, Manisha Jaitly,Shipra Arora, Dr. S.S.Agrawal Comparative Phonological And Prosodic Study Of Hindi Spoken By Native And Non Native Speakers presented and published in proceedings of 15th International conference O-COCOSDA, CASLRE 2012, Macau China (Scopus)
  • Bansal Shweta, Mahajan M., Agrawal,S.S. and Kushwaha, A. “Determination of Linguistic Differences and Statistical Analysis of Large Corpora of Indian Languages,” presented and published in IEEE proceedings of 16th International conference O-COCOSDA, CASLRE 2013, Nov 25-27, pp. 400-404,Gurgaon, India, 2013. ISBN No. 978-1-4799-2379-3.
  • S.Agrawal, Abhimanue and Shweta Bansal “Statistical Analysis of Multilingual Text Corpus and Development of Language Models” presented and published in proceedings/lrec2014, p.p 2436-2440, ELREC 2014, Iceland (Scopus)
  • Dipti Pandey, Shweta Bansal and Dr. Shyam S. Agrawal, “Comparative Performance of Hindi Speaker Identification System Using MFCC and PLP features” presented at O-COCOSDA 2014, p.p 325-330, Phuket, Thailand
  •  Shweta Bansal, Shambhu Sharan, S.S Agrawal, “Corpus Design and Development of an Annotated Speech Database for Punjabi” presented in COCOSDA held on 28-30 October 2015 in Shanghai and published in IEEE explore DOI: 10.1109/ICSDA.2015.7357860
  • Shweta Bansal, Shyam S. Agrawal: “Comparative Acoustic study of Hindi phonemes spoken by native and nonnative speakers” accepted and presented in National Conference on Acoustics for Ocean Environment, organized by National Symposium on Acoustics Goa, 7-9 october2015
  • Shambhu Sharan, Shweta Bansal, Shyam S. Agrawal , “Speaker Independent Recognition System for Continuous Hindi Speech using Probabilistic model” Computer Society of India 2-5th December 2015 New Delhi and published in Springer, Singapore https://doi.org/10.1007/978-981-10-6626-9_10 
  • Shweta Bansal, Shyam S. Agrawal, Arup Saha , Tulika Basu,”Articulatory Classification of Punjabi Consonants using EPG EEG and Nasometer” presented in International conference OCOCOSDA 2016, Bali (IEEE explore)
  • Shweta Bansal, Shyam S. Agrawal, “Development of Text and Speech Corpus for Designing the Multilingual Recognition System” presented in 2018 Oriental COCOSDA – International Conference on Speech Database and Assessments, Miyazaki, Japan, DOI: 10.1109/ICSDA.2018.8693013 (IEEE)
  • Shyam Agrawal, Shweta Bansal, Shweta Sinha ,” Comparative Acoustic-Phonetic Analysis of Retroflex Consonants of Some Indian Languages” in Proceedings of 23rd International Congress on Acoustics, 9-13 Sep 2019, Aachen, Germany, p.p 6871-6878.
  • Shweta Sinha, Shweta Bansal, S.S Agrawal “Acoustic phonetic convergence and divergence between Hindi spoken in India and Nepal”. Satellite Workshop at Interspeech 2019, Pluricentric Languages in Speech Technology, September 14 2019, Graz,Austria
  • Shweta Bansal, Shweta Sinha, S.S Agrawal “Acoustic-Phonetic Approach for ASR of Less Resourced Languages Using Monolingual and Cross-Lingual Information”. Proceedings of the 1st Joint SLTU and CCURL Workshop (SLTU-CCURL 2020), pages 167–171 Language Resources and Evaluation Conference (LREC 2020), Marseille, 11–16 May 202
  • Amita Dev, Shweta Bansal, S.S Agrawal“An Empirical Study of Speaker Identification System for Mono and Traverse Linguistic Background Using EM and SMEM” accepted in 24th Conference of the Oriental COCOSDA to be held on 18-20 November Singapore.
  • Shweta Bansal, Ankur Hooda, Anima “SPEAKER IDENTIFICATION SYSTEM USING CLOSE SET, published in International Journal of Research in Engineering and Technology (ISSN: 2319 – 1163), Volume 1, issue 3, p.p 411-414, Nov 2012 .
  • Agrawal S.S, Bansal Shweta, Pandey, D. and Tayal, H. “A Hidden Markov Model (HMM) based speaker identification system using mobile phone database of North Atlantic Treaty Organization (NATO) words” presented and published in The Journal of the Acoustical Society of America, vol. 133, issue 5, p. 3247 .
  • Shweta Bansal “Isolated word speech recognition for object identification” IJSER Volume 4, Issue1, Jan 2013 Edition (ISSN 2229-5518) .
  • Shweta Bansal, Shyam S. Agrawal and Alok Kushawaha “Overview on Speaker Identification Technologies:”published in IJRASET, 2015, Issue VI, June 2015 (ISSN No. :2321-9653) (UGCapproved).
  • Shweta Bansal, S.S Agrawal and Atul Kumar, Speaker Adaptation on Hidden Markov Model Using Mfcc & Rasta-Plp and Comparative Study, published in IJST DOI: 10.17485/IJST/2016/v9i28/74624, Vol.9, Issue28, July 2016 (Scopus indexed in 2016) .
  • S.S Agrawal, Shweta Bansal, Shambhu Sharan, Amritpal Singh , Acoustic phonetic study of phonemes and tonemes of spoken Punjabi language, The Journal of the Acoustical Society of America 139, 2214 (2016); https://asa.scitation.org/doi/10.1121/1.4950619 (SCIIndexed) .
  • S.S Agrawal, S.Bansal, Shambhu Sharan, Acoustic analysis of oral and nasal Hindi vowels spoken by native and non-native speakers published The Journal of the Acoustical Society of America 140, 3338 (2016); https://asa.scitation.org/doi/10.1121/1.4970648 (SCI Indexed) .
  • Shweta Bansal, S, S Agrawal, Acoustic Analysis and Perception of Emotions in Hindi Speech Using Words And Sentences, BJIT 2018, Springer, DOI: 10.1007/s41870-017-0081-0 (Scopus, Springer).
Book Chapters
  • Shweta Sinha and Shweta Bansal, Computational intelligence approach to address the language barrier in healthcare, chapter published in Computational Intelligence for Machine Learning and Healthcare Informatics, De Gruyter 2020, https://doi.org/10.1515/9783110648195 (Scopus Indexed) .
  • Shweta Bansal, SS Agrawal, Shambhu Saran (2018), Speaker-Independent Recognition System for Continuous Hindi Speech Using Probabilistic Model, 10.1007/978-981-10-6626-9_10.