Karjigi, V., Rao, P. and Samudravijaya K., “Investigation of Acoustic Attributes of Marathi unvoiced stops for Classification“, Proc. of Frontiers of research on Speech and Music, AIISH, Mysore, Jan. 2007. FRSM-2007

Karjigi, V., Patel B. and Rao, P., “Identification of stop consonants for acoustic keyword spotting in continuous speech”, Proc. of Wireless Personal Multimedia Communications (WPMC), Jaipur, India, Sep. 2007.WPMC-2007

Karjigi, V. and Rao, P., “Four-way classification of place of articulation of Marathi unvoiced stops from burst spectra“, Proc. of Workshop on Image and Signal Processing”, IIT Guwahati, Dec. 2007. WISP-2007

Karjigi, V. and Rao, P., “Landmark based recognition of stops: acoustic attributes versus smoothed spectra“, Proc. of Interspeech, Brisbane, Australia, Sep. 2008. INTERSPEECH-2008

Swetha C.S. and Karjigi V., Emotion classification in speech”, Proc. of National Conference on Communication Networks and Security, RVCE, Bangalore, 2010. RVCE-2010

Karjigi, V. and Rao, P., “Classification of place of articulation in unvoiced stops with spectro-temporal surface modeling”, Speech Communication, 2012.SPCOM--ELSV-2012

Karjigi, V. and Rao, P., “Knowledge-based features for place classification of Unvoiced Stops”, Journal of Intelligent Systems, 2013.JIS-2013

Shwetha K. S. and Karjigi, V., “Prominent word detection using pitch patterns”, Proc. IEEE International Conference on Asian Spoken Language Research and Evaluation, Noida, 2013.COCOSDA-2013-1

Shridhara, M.V., Banahatti, B.K., Narthan, L., Karjigi V. and Kumaraswamy R., “Development of Kannada speech corpus for prosodically guided phonetic search engine”, Proc. IEEE International Conference on Asian Spoken Language Research and Evaluation, Noida, 2013.COCOSDA-2013-2

Kavya, H.P. and Karjigi V., “Sensitive Keyword Spotting for crime analysis”, Proc. IEEE National Conference on Communication, Signal Processing and Networking, Tamilnadu, 2014. NCCSN-2014-1

Anu, J.P. and Karjigi V., “Sentence Segmentation of Speech Processing”, Proc. IEEE National Conference on Communication, Signal Processing and Networking, Tamilnadu, 2014. NCCSN-2014-2

Shilpa C.P., Swathi V., Karjigi V., Pavithra K.S. and Sultana S., “Landmark based modification to correct distortions in dysarthric speech”, Proc. National Conference on Communication, IIT Guwahati, 2016. NCC-2016

Pavithra K.S. and Karjigi, V., “University Seat Number Recognition: An application of connected alpha-digit recognition”, Proc. Conference on Advances in Signal Processing, Pune, 2016.CASP-2016-2

Diwakar G. and Karjigi, V., “Repetition detection in dysarthric speech”, Proc. IEEE International Conference on Wireless Communications, Signal Processing and Networking, Chennai, India, 2017.WiSPNET-2017

Karjigi, V. and Chandrashekar, H.M., “Improving Teaching-Learning Process for Digital Signal Processing”, Journal of Engineering Education Transformations, 2017.JEET-2017

Raj, A., Anjum A, Chethan, Lakshmi, Karjigi, V. and Rao, M.,”Modifications to correct distortions in stops of dysarthric speech using TMS320C6713 DSK”, Proc. IEEE ICEECCOT, Mysore, 2017.ICEECCOT-2017

Divya V. and Karjigi, V., “Formant Transformation for improving intelligibility of Dysarthric Speech”, Proc. National Conference on Recent Trends in Electrical Sciences” SIT, Tumkur, India, 2018.NCRET-2018

Divya V. and Karjigi, V., “Modifying Dysarthric Vowels using formant transformation techniques and vowel synthesis”, Proc. International Conference on Recent Trends in Engineering and Technology” Bangalore, India, 2018.ICRET-2018

Chandrashekar, H.M., Karjigi, V. and Sreedevi, N., “Intelligibility Assessment and Analysis of Articulation Errors in Dysarthric Speech in English and Kannada”, Proc. Workshop on Speech Processing for Voice, Speech and Hearing Disorders, AIISH, Mysore, India, 2018.WSPD-2018

Chandrashekar, H.M., Karjigi, V. and Sreedevi, N., “Breathiness Indices for Classification of dysarthria based on type and speech Intelligibility”, Proc. IEEE International Conference on Wireless Communications, Signal Processing and Networking, Chennai, India, 2019.WiSPNET-2019

Varghese, A., Sowmya, M.C. and Karjigi, V., “Vowel Formant Transformation Techniques for Dysarthric Speech”, Proc. IEEE ICEECCOT, Mysore, 2019.ICEECCOT-2019

Chandrashekar, H.M., Karjigi, V. and Sreedevi, N., “Spectro-Temporal Representation of speech for Intelligibility Assessment of Dysarthria”, IEEE Journal of Selected topics in Signal Processing, Feb. 2020.JSTSP-2020

Diwakar, G. and Karjigi, V., “Improving speech to text alignment based on repetition detection for dysarthric speech”, Circuits Systems and Signal Processing, Accepted for Publication, 2020.CSSP-2020

Chandrashekar, H.M., Karjigi, V. and Sreedevi, N., “Investigation of Different Time-Frequency Representations for Intelligibility Assessment of Dysarthric Speech ”, IEEE Transactions on Neural Systems and Rehabilitation Engineering Selected topics in Signal Processing, Dec. 2020.

Chandrashekar, H.M., Pavithra K. S., Karjigi, V. and Sreedevi, N., “Region Based Prediction and Score Combination for Automatic Intelligibility ssessment of Dysarthric Speech", 2021.

Pasupuleti Pragna, Prasanna, Sahana Suresh Naik, Shilpashree R Charantimath, Veena Karjigi, “Channel Estimation using conventional methods and deep learning", 2021.