System and method for rapid prototyping of existing speech recognition solutions in different languages SK Kopparapu, IA Sheikh, AS Pharande US Patent 8,498,857, 2013 | 340 | 2013 |
Finding faces in photographs AN Rajagopalan, KS Kumar, J Karlekar, R Manivasakan, MM Patil, ... Sixth International Conference on Computer Vision (IEEE Cat. No. 98CH36271 …, 1998 | 150 | 1998 |
Lighting design for machine vision application SK Kopparapu Image and Vision Computing 24 (7), 720-726, 2006 | 104 | 2006 |
Data Augmentation Using Healthy Speech for Dysarthric Speech Recognition. B Vachhani, C Bhat, SK Kopparapu Interspeech, 471-475, 2018 | 103 | 2018 |
Choice of Mel filter bank in computing MFCC of a resampled speech SK Kopparapu, M Laxminarayana 10th international conference on information science, Signal processing and …, 2010 | 101 | 2010 |
Bayesian approach to image interpretation SK Kopparapu, UB Desai Springer Science & Business Media, 2001 | 60 | 2001 |
System for conversation quality monitoring of call center conversation and a method thereof A Pande, SK Kopparapu US Patent 8,761,376, 2014 | 59 | 2014 |
Automatic assessment of dysarthria severity level using audio descriptors C Bhat, B Vachhani, SK Kopparapu 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 56 | 2017 |
Automatic extraction of usable information from unstructured resumes to aid search SK Kopparapu 2010 IEEE International Conference on Progress in Informatics and Computing …, 2010 | 55 | 2010 |
Method and system for creating frugal speech corpus using internet resources and conventional speech corpus S Kopparapu, IA Sheikh US Patent 8,756,064, 2014 | 52 | 2014 |
Multi-conditioning and data augmentation using generative noise model for speech emotion recognition in noisy conditions U Tiwari, M Soni, R Chakraborty, A Panda, SK Kopparapu ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 48 | 2020 |
Identifying optimal Gaussian filter for Gaussian noise removal SK Kopparapu, M Satish 2011 Third National Conference on Computer Vision, Pattern Recognition …, 2011 | 48 | 2011 |
Mixed Language Speech Recognition without Explicit Identification of Language S Kopparapu, K Bhuvanagiri American Journal of Signal Processing 2 (5), 92-97, 2012 | 44* | 2012 |
Audio-visual fusion for sentiment classification using cross-modal autoencoder SH Dumpala, I Sheikh, R Chakraborty, SK Kopparapu 32nd conference on neural information processing systems (NIPS 2018), 1-4, 2019 | 43 | 2019 |
Deep Autoencoder Based Speech Features for Improved Dysarthric Speech Recognition. B Vachhani, C Bhat, B Das, SK Kopparapu Interspeech, 1854-1858, 2017 | 43 | 2017 |
A spoof resistant multibiometric system based on the physiological and behavioral characteristics of fingerprint I Bhardwaj, ND Londhe, SK Kopparapu Pattern Recognition 62, 214-224, 2017 | 40 | 2017 |
An approach to mixed language automatic speech recognition K Bhuvanagiri, S Kopparapu Oriental COCOSDA, Kathmandu, Nepal, 2010 | 40 | 2010 |
Spoken Indian language identification: a review of features and databases A Bakshi, SK Kopparapu Sadhana 43 (4), 2018 | 39* | 2018 |
Joint segmentation and image interpretation KS Kumar, UB Desai Pattern Recognition 32 (4), 577-589, 1999 | 39 | 1999 |
The effect of noise on camera calibration parameters S Kopparapu, P Corke Graphical Models 63 (5), 277-303, 2001 | 36 | 2001 |