| Emotion recognition from speech: a review SG Koolagudi, KS Rao International journal of speech technology 15, 99-117, 2012 | 718 | 2012 |
| Tomato leaf disease detection using convolutional neural networks P Tm, A Pranathi, K SaiAshritha, NB Chittaragi, SG Koolagudi 2018 eleventh international conference on contemporary computing (IC3), 1-5, 2018 | 324 | 2018 |
| Emotion recognition from speech using global and local prosodic features KS Rao, SG Koolagudi, RR Vempada International journal of speech technology 16, 143-160, 2013 | 225 | 2013 |
| IITKGP-SESC: speech database for emotion analysis SG Koolagudi, S Maity, VA Kumar, S Chakrabarti, KS Rao Contemporary Computing: Second International Conference, IC3 2009, Noida …, 2009 | 154 | 2009 |
| Emotion recognition using speech features KS Rao, SG Koolagudi Springer Science & Business Media, 2012 | 147* | 2012 |
| Emotion recognition from speech using source, system, and prosodic features SG Koolagudi, KS Rao International Journal of Speech Technology 15, 265-289, 2012 | 144* | 2012 |
| IITKGP-SEHSC: Hindi speech corpus for emotion analysis SG Koolagudi, R Reddy, J Yadav, KS Rao 2011 International conference on devices and communications (ICDeCom), 1-5, 2011 | 101 | 2011 |
| Identification of language using mel-frequency cepstral coefficients (MFCC) SG Koolagudi, D Rastogi, KS Rao Procedia Engineering 38, 3391-3398, 2012 | 88 | 2012 |
| Content-based music information retrieval (cb-mir) and its applications toward the music industry: A review YVS Murthy, SG Koolagudi ACM Computing Surveys (CSUR) 51 (3), 1-46, 2018 | 83 | 2018 |
| Emotion recognition from speech signal using epoch parameters SG Koolagudi, R Reddy, KS Rao 2010 international conference on signal processing and communications (SPCOM …, 2010 | 76 | 2010 |
| Identification of Hindi dialects and emotions using spectral and prosodic features of speech KS Rao, SG Koolagudi IJSCI: International Journal of Systemics, Cybernetics and Informatics 9 (4 …, 2011 | 73 | 2011 |
| Speech emotion recognition using segmental level prosodic analysis SG Koolagudi, N Kumar, KS Rao 2011 international conference on devices and communications (ICDeCom), 1-5, 2011 | 73 | 2011 |
| Choice of a classifier, based on properties of a dataset: case study-speech emotion recognition SG Koolagudi, YVS Murthy, SP Bhaskar International Journal of Speech Technology 21 (1), 167-183, 2018 | 62 | 2018 |
| Food classification from images using convolutional neural networks DJ Attokaren, IG Fernandes, A Sriram, YVS Murthy, SG Koolagudi TENCON 2017-2017 IEEE Region 10 Conference, 2801-2806, 2017 | 56 | 2017 |
| Two stage emotion recognition based on speaking rate SG Koolagudi, RS Krothapalli International Journal of Speech Technology 14, 35-48, 2011 | 53 | 2011 |
| Currency recognition system using image processing V Abburu, S Gupta, SR Rimitha, M Mulimani, SG Koolagudi 2017 Tenth International Conference on Contemporary Computing (IC3), 1-6, 2017 | 52 | 2017 |
| Emotion recognition from speech using sub-syllabic and pitch synchronous spectral features SG Koolagudi, SR Krothapalli International Journal of Speech Technology 15, 495-511, 2012 | 51 | 2012 |
| Classification of vocal and non-vocal segments in audio clips using genetic algorithm based feature selection (GAFS) YVS Murthy, SG Koolagudi Expert Systems with Applications 106, 77-91, 2018 | 45 | 2018 |
| Neural network based feature transformation for emotion independent speaker identification SR Krothapalli, J Yadav, S Sarkar, SG Koolagudi, AK Vuppala International Journal of Speech Technology 15, 335-349, 2012 | 41 | 2012 |
| Characterization of emotions using the dynamics of prosodic KS Rao, R Reddy, S Maity, SG Koolagudi Proc. speech prosody 4, 2010 | 40 | 2010 |
