Vipul Arora

Google Scholar page

Patents

  • Vipul Arora, Aditi Lahiri and Henning Reetz, “System and Method for Automatic Speech Analysis”, filed in USA, 2021.
  • Vipul Arora, “System and method for Music Training”, filed in India, 2021
  • Vipul Arora, Aditi Lahiri and Henning Reetz, “System and Method for Automatic Speech Analysis”, WO 2018/193241, filed in Great Britain, April 2017.
  • Vipul Arora, Aditi Lahiri and Henning Reetz, “System and Method for Automatic Speech Analysis”, EP3613046A1, European patent office, Feb 2020 (pending)

Journal Publications

  • Sonu Kumar Jha, Mohit Kumar, Vipul Arora, Sachchida Nand Tripathi, Vidyanand Motiram Motghare, and A. A. Shingare, “Domain adaptation based deep calibration of low-cost PM2.5 sensors”, IEEE Sensors Journal, 2021.
  • Tharun Kumar Reddy, Vipul Arora, Rupam Biswas, Vinay Gupta, and Laxmidhar Behera,”EEG Based Drowsiness Detection With Fuzzy Independent Phase Locking Value Representations Using Lagrangian Based Deep Neural Networks”, IEEE Transactions on Systems, Man and Cybernetics: Systems, 2021.
  • Japneet Singh, Mathias S Scheurer, Vipul Arora, “Generative models for sampling and phase transition indication in spin systems”, Scipost Physics, 2021.
  • Tharun Kumar Reddy, Vipul Arora, Laxmidhar Behera, Yukai Wang, Chin-Teng Lin, “Multi-class Fuzzy Time-delay Common Spatio-Spectral Patterns with Fuzzy Information Theoretic optimization for EEG based Regression Problems in Brain Computer Interface (BCI)”, IEEE Trans. Fuzzy Systems, vol. 27, issue 10, pp. 1943-1951, October 2019.
  • Tharun Kumar Reddy, Vipul Arora, Satyam Kumar, Laxmidhar Behera, Yukai Wang, Chin-Teng Lin, “Electroencephalogram based reaction time prediction with differential phase synchrony representations using co-operative multi-task deep neural networks”, IEEE Trans. Emerging Topics in Computational Intelligence, vol.3, issue 5, pp. 369-379, September 2019.
  • Tharun Kumar Reddy, Vipul Arora and Laxmidhar Behera, “HJB-Equation-Based Optimal Learning Scheme for Neural Networks With Applications in Brain Computer Interface,” IEEE Trans. Emerging Topics in Computational Intelligence, issue 99, pp. 1-12, August 2018.
  • Vipul Arora, Aditi Lahiri and Henning Reetz, “Phonological feature-based ASR for mispronunciation detection and corrective feedback in L2 learning”, Journal of Acoustical Society of America (JASA), vol. 143, no. 1, pp. 98-108, January 2018
  • Vipul Arora and Laxmidhar Behera, “Multiple F0 Estimation and Source Clustering of Polyphonic Music Audio Using PLCA and HMRFs,” IEEE/ACM Trans. Audio, Speech, and Lang. Process., 2015.
  • Vipul Arora and Laxmidhar Behera, “Musical source clustering and identification in polyphonic audio,” IEEE/ACM Trans. Audio, Speech, and Lang. Process., vol. 22, no. 6, pp. 1003-1012, June 2014.
  • Vipul Arora and Laxmidhar Behera, “On-line melody extraction from polyphonic audio using harmonic cluster tracking,” IEEE Trans. Audio, Speech and Lang. Process., vol. 21, no. 3, pp. 520-530, March 2013.

Book Chapters

  • Vipul Arora and Henning Reetz, “Automatic Speech Recognition: what phonology can offer” in Lexical Processing of Speech, deGruyter/Mouton, 2017

Conference Publications

  • Aman Sharma, Kavya Saxena and Vipul Arora, “Frequency-Anchored Deep Networks for Polyphonic Melody Extraction”, in Proceedings of National Conference on Communications (NCC), 2021.
  • Shivangi Ranjan and Vipul Arora, “A Bioinformatic Method Of Semi-Global Alignment For Query-By-Humming”, in IEEE Conference on Information and Communication Technology (CICT), 2020, pp. 1–5
  • Satyam Kumar, Tharun Kumar Reddy, Vipul Arora, and Laxmidhar Behera, “Formulating Divergence Framework For Multiclass Motor Imagery EEG Brain Computer Interface”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020.
  • Vipul Arora, Ming Sun and Chao Wang, “Deep Embeddings for Rare Audio Event Detection With Imbalanced Data”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019. [pdf] [blog]
  • Vipul Arora, Aditi Lahiri and Henning Reetz, “Phonological feature based mispronunciation detection and diagnosis using multitask DNNs and active learning”, INTERSPEECH, Stockholm, 2017.
  • Vipul Arora, Laxmidhar Behera, Tharun Reddy and Ajay Pratap Yadav, “HJB Equation Based Learning Scheme for Neural Networks”, in International Joint Conference on Neural Networks (IJCNN), May 2017.
  • Vipul Arora, Aditi Lahiri and Henning Reetz, “Attribute based shared hidden layers for cross-language knowledge transfer”, in IEEE Workshop on Spoken Language Technology (SLT), San Diego, California, December 2016
  • Vipul Arora and Laxmidhar Behera, “Instrument identification using PLCA over stretched manifolds,” in Proc. National Conf. Communications (NCC), Kanpur, India, February 2014. (Best Paper award) [ppt]
  • Vipul Arora and Laxmidhar Behera, “Semi-supervised polyphonic source identification using PLCA based graph clustering,” in Proc. Intl. Symp. Music Inf. Retreival (ISMIR), Curitiba, Brazil, November 2013. (Best Student Paper award) [ppt]
  • Vipul Arora and Laxmidhar Behera, “Discriminative PLCA based polyphonic source identification,” in Proc. European Signal Process. Conf. (EUSIPCO), Marrakech, Morocco, September 2013. [ppt]
  • Vipul Arora and Laxmidhar Behera, “Design of Distribution Independent Noise Filters with Online PDF Estimation,” in Proc. Int. Conf. Neural Inf. Process. (ICONIP), Doha, 2012.
  • Vipul Arora, Rahul Sevakula, R.M.K. Sinha, Laxmidhar Behera, “Identifying Various Aspects of Indian Raga System”, in Proc. Intl. Symp. Frontiers of Research on Speech and Music (FRSM), Gurgaon, India, January 2012.
  • Vaibhav Gandhi, Vipul Arora, Laxmidhar Behera, Girijesh Prasad, Damien Coyle and Martin McGinnity, “EEG denoising with a Recurrent Quantum Neural Network for a Brain-Computer Interface,” in Proc. IEEE Intl. Joint Conf. Neural Networks, California, USA, 2011.
  • Vaibhav Gandhi, Vipul Arora, Laxmidhar Behera, Girijesh Prasad, Damien Coyle and Martin McGinnity, “A Recurrent Quantum Neural Network Model Enhances the EEG Signal for an Improved Brain Computer Interface,” in Proc. IET Seminar on Assisted Living, London, UK, 2011.
  • Himanshu Singh, Vipul Arora, Laxmidhar Behera and Ashish Dutta, “A System of Systems Approach to Face Feature Tracking in Real-Time Applications,” in Proc. IEEE Conf. System of Systems Engineering, Loughbrough, UK, 2010.
  • Himanshu Singh, Vipul Arora, Laxmidhar Behera and Ashish Dutta, “Face Feature Tracking with Automatic Initialization and Failure Recovery,” in Proc. IEEE Intl. Conf. Cybernetics and Intell. Systems, and Robotics, Automation and Mechatronics, Singapore, June 2010.
  • Vipul Arora, Laxmidhar Behera and Pradip Sircar,” Singing Voice Synthesis for Indian Classical Raga System,” in Proc. Irish Signal and Systems Conf. (ISSC), Dublin, 2009.
  • Pawan Goyal, Vipul Arora and Laxmidhar Behera, “Analysis of Sanskrit Text: Parsing and Semantic Relations,” Sanskrit Computational Linguistics: Revised Selected and Invited Papers, Springer-Verlag, pp 200 - 218, 2009.
  • Pawan Goyal, Vipul Arora, Laxmidhar Behera and Martin McGinnity, “Tagging of Text with Emotion for Emotional Speech Synthesis,” in Proc. Information Technology and Telecommunications Conf., GMIT, Galway, pp 111-118, 2008.

Other Publications

  • Shivam Pal, Pawan Goyal and Vipul Arora, “Finding Prerequisite Relations between Concepts using Textbook”, arXiv:2011.10337, 2020.
  • Vipul Arora, Laxmidhar Behera and Ajay Pratap Yadav, “Optimal Convergence Rate in Feed Forward Neural Networks using HJB Equation”, arXiv preprint, arXiv:1504.07278, 2015.
  • Vipul Arora, Aditi Lahiri and Henning Reetz, “Phonological Features for Digit Recognition,” in American Society of Acoustics (ASA) meeting, Jacksonville, November 2015.
  • Vipul Arora and Laxmidhar Behera, “Online melody extraction: MIREX 2012,” in MIREX, Porto, Portugal, October 2012. [extended abstract][poster]