Sunil Kumar Kopparapu

Sunil Kumar Kopparapu, Ashish Panda, Rupayan Chakraborty, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Front-End Feature Compensation for Noise Robust Speech Emotion Recognition

Sunil Kumar Kopparapu, Ashish Panda, Rupayan Chakraborty, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Recognition of subsampled speech using a modified Mel filter bank

Sunil Kumar Kopparapu, Kiran Kumar Bhuvanagiri, 2013, Comput. Electr. Eng..

Readable Image for the Visually Impaired

Sunil Kumar Kopparapu, 2011, HCI.

Identification of Dementia Using Audio Biomarkers pdf

Sunil Kumar Kopparapu, Chitralekha Bhat, Rupayan Chakraborty, 2020, ArXiv.

Optimal Gaussian Filter for Effective Noise Filtering pdf

Sunil Kumar Kopparapu, M. Satish, 2014, ArXiv.

The effect of measurement noise on intrinsic camera calibration parameters

Sunil Kumar Kopparapu, P. Corke, 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

Effect of noise-in-speech on MFCC parameters

Sunil Kumar Kopparapu, M. Laxmi Narayana, 2009 .

Call Center Linguistic Analytics

Sunil Kumar Kopparapu, 2015 .

On-line Handwritten Devanagari Character Recognition using Fuzzy Directional Features pdf

Sunil Kumar Kopparapu, V. L. Lajish, V. Lajish, 2015, ArXiv.

A Framework for Spontaneous Speech Emotion Recognition

Sunil Kumar Kopparapu, Rupayan Chakraborty, Meghna Pandharipande, 2017 .

SpeakRite: Monitoring Speaking Rate in Real Time on a Mobile Phone

Sunil Kumar Kopparapu, Imran Ahmed, Meghna Pandharipande, 2013, Int. J. Mob. Hum. Comput. Interact..

Non-Linguistic Analysis of Call Center Conversations

Sunil Kumar Kopparapu, 2014 .

Improving ASR Recognized Speech Output for Effective Natural Language Processing

Sunil Kumar Kopparapu, Chiragkumar Patel, Nikhil Kini, 2015, ICDS 2015.

Dysarthric Speech Recognition Using Time-delay Neural Network Based Denoising Autoencoder

Sunil Kumar Kopparapu, Biswajit Das, Chitralekha Bhat, 2018, INTERSPEECH.

The Effect of Measurement Noise on Camera Calibration Matrix

Peter I. Corke, Sunil Kumar Kopparapu, 1998, IVCNZ.

Student project administration at a research laboratory

Sunil Kumar Kopparapu, Akhilesh Srivastava, P. V. S. Rao, 2010, 2010 IEEE Region 8 International Conference on Computational Technologies in Electrical and Electronics Engineering (SIBIRCON).

Visualization of continuous density hidden Markov models

Sunil Kumar Kopparapu, 2011, 2011 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC).

Novel windowing technique of MFCC for speaker identification with Modified Polynomial Classifiers

Sunil Kumar Kopparapu, Sanjay Pawar, Shikha Nema, 2014, 2014 5th International Conference - Confluence The Next Generation Information Technology Summit (Confluence).

Evaluating the Performance of a Speech Recognition Based System pdf

Sunil Kumar Kopparapu, Vinod Kumar Pandey, 2011, ACC.

Identification of Alzheimer’s Disease using Non-linguistic Audio Descriptors

Sunil Kumar Kopparapu, Chitralekha Bhat, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Edge assisted fast binarization scheme for improved vehicle license plate recognition

Sunil Kumar Kopparapu, M Satish, V L Lajish, 2011, 2011 National Conference on Communications (NCC).

Basis Identification for Automatic Creation of Pronunciation Lexicon for Proper Names pdf

Sunil Kumar Kopparapu, M. LaxmiNarayana, 2014, ArXiv.

An unsupervised approach to automated selection of good essays

Sunil Kumar Kopparapu, Arijit De, 2011, 2011 IEEE Recent Advances in Intelligent Computational Systems.

Improving Emotion Classification Accuracies

Sunil Kumar Kopparapu, Rupayan Chakraborty, Meghna Pandharipande, 2017 .

A Language Independent Approach to Identify Problematic Conversations in Call Centers

Sunil Kumar Kopparapu, Meghna Pandharipande, 1970 .

A Novel Approach for Intelligibility Assessment in Dysarthric Subjects

Sunil Kumar Kopparapu, Ayush Tripathi, Swapnil Bhosale, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Phonetic Segmentation Using Knowledge from Visual and Perceptual Domain

Sunil Kumar Kopparapu, Chitralekha Bhat, Bhavik Vachhani, 2017, TSD.

Online handwritten devanagari stroke recognition using extended directional features

Sunil Kumar Kopparapu, V. L. Lajish, 2014, 2014 8th International Conference on Signal Processing and Communication Systems (ICSPCS).

Image model behaviour in multiresolution

Sunil Kumar Kopparapu, Peter Corke, 1999 .

Building a Natural Language Hindi Speech Interface to Access Market Information

Sunil Kumar Kopparapu, Ahmed Imran, 2011, 2011 Third National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics.

Deep Encoded Linguistic and Acoustic Cues for Attention Based End to End Speech Emotion Recognition

Sunil Kumar Kopparapu, Rupayan Chakraborty, Swapnil Bhosale, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Improving Recognition of Dysarthric Speech Using Severity Based Tempo Adaptation

Sunil Kumar Kopparapu, Chitralekha Bhat, Bhavik Vachhani, 2016, SPECOM.

Methods and challenges for creating an emotional audio-visual database

Sunil Kumar Kopparapu, Rupayan Chakraborty, Meghna A Pandharipande, 2017, 2017 20th Conference of the Oriental Chapter of the International Coordinating Committee on Speech Databases and Speech I/O Systems and Assessment (O-COCOSDA).

Robust Front-End Processing For Emotion Recognition In Noisy Speech

Sunil Kumar Kopparapu, Ashish Panda, Rupayan Chakraborty, 2018, 2018 11th International Symposium on Chinese Spoken Language Processing (ISCSLP).

Cycle-Consistent GAN Front-End to Improve ASR Robustness to Perturbed Speech

Sunil Kumar Kopparapu, Sri Harsha Dumpala, Rupayan Chakraborty, 2018 .

Behaviour of image degradation model in multiresolution

Peter I. Corke, Uday B. Desai, Sunil Kumar Kopparapu, 2000, Signal Process..

Lighting design for machine vision application

Sunil Kumar Kopparapu, 2006, Image Vis. Comput..

Validating “Is ECC-ANN combination equivalent to DNN?” for speech emotion recognition

Sunil Kumar Kopparapu, Rupayan Chakraborty, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Multimodal Indexing of Multilingual News Video

Ashish Khare, Sunil Kumar Kopparapu, Tanushyam Chattopadhyay, 2010, Int. J. Digit. Multim. Broadcast..

Improved Speaker Independent Dysarthria Intelligibility Classification Using Deepspeech Posteriors

Sunil Kumar Kopparapu, Ayush Tripathi, Swapnil Bhosale, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Automatic segmentation of broadcast news audio using self similarity matrix

Sunil Kumar Kopparapu, Imran Ahmed, Sapna Soni, 2014, International Conference for Convergence for Technology-2014.

Unsupervised clustering technique to harness ideas from an Ideas Portal

Sunil Kumar Kopparapu, Arijit De, A. De, 2013, 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Imaging model at different resolutions

Peter I. Corke, Sunil Kumar Kopparapu, 1999, ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359).

A two pass algorithm for speaker change detection

Sunil Kumar Kopparapu, Ahmed Imran, G Sita, 2010, TENCON 2010 - 2010 IEEE Region 10 Conference.

Friendly Interfaces Between Humans and Machines

Sunil Kumar Kopparapu, P. V. S. Rao, 2018, Springer Singapore.

Automatic assessment of dysarthria severity level using audio descriptors

Sunil Kumar Kopparapu, Chitralekha Bhat, Bhavik Vachhani, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Audio segmentation based approach for improved emotion recognition

Sunil Kumar Kopparapu, Meghna Abhishek Pandharipande, 2015, TENCON 2015 - 2015 IEEE Region 10 Conference.

Voice Analytics Process

Sunil Kumar Kopparapu, 2015 .

Effect of Microphone Position Measurement Error on RIR and its Impact on Speech Intelligibility and Quality

Sunil Kumar Kopparapu, Ashish Panda, Karan Nathwani, 2020, INTERSPEECH.

Two Approaches for Mobile Phone Image Insignia Identification

Sunil Kumar Kopparapu, Nitin Mishra, N. Mishra, 2014, SIRS.

Data Augmentation Using Healthy Speech for Dysarthric Speech Recognition

Sunil Kumar Kopparapu, Chitralekha Bhat, Bhavik Vachhani, 2018, INTERSPEECH.

Mining Call Center Conversations exhibiting Similar Affective States

Sunil Kumar Kopparapu, Rupayan Chakraborty, Meghna Pandharipande, 2016, PACLIC.

Adapting general-purpose speech recognition engine output for domain-specific natural language question answering pdf

C. Anantaram, Sunil Kumar Kopparapu, 2017, ArXiv.

The Effect of Noise on Camera Calibration Parameters

Peter I. Corke, Sunil Kumar Kopparapu, Peter Corke, 2001, Graph. Model..

Choice of Mel filter bank in computing MFCC of a resampled speech

Sunil Kumar Kopparapu, M Laxminarayana, M. LaxmiNarayana, 2010, 10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010).

Deep Autoencoder Based Speech Features for Improved Dysarthric Speech Recognition

Sunil Kumar Kopparapu, Biswajit Das, Chitralekha Bhat, 2017, INTERSPEECH.

An Unsupervised frame Selection Technique for Robust Emotion Recognition in Noisy Speech

Sunil Kumar Kopparapu, Ashish Panda, Rupayan Chakraborty, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

Knowledge-Driven Feed-Forward Neural Network for Audio Affective Content Analysis

Sunil Kumar Kopparapu, Sri Harsha Dumpala, Rupayan Chakraborty, 2018, AAAI Workshops.

Improved speech emotion recognition using error correcting codes

Sunil Kumar Kopparapu, Rupayan Chakraborty, 2016, 2016 IEEE International Conference on Multimedia & Expo Workshops (ICMEW).

SMS based natural language interface to yellow pages directory

Sunil Kumar Kopparapu, Arun Pande, Akhilesh Srivastava, 2007, Mobility '07.

A Metric to Classify Style of Spoken Speech pdf

Sunil Kumar Kopparapu, P. V. S. Rao, Saurabh Bhatnagar, 2015, ArXiv.

Correcting General Purpose ASR Errors using Posteriors

C. Anantaram, Sunil Kumar Kopparapu, 2017, ICON.

Recognition of Dysarthric Speech Using Voice Parameters for Speaker Adaptation and Multi-Taper Spectral Estimation

Sunil Kumar Kopparapu, Chitralekha Bhat, Bhavik Vachhani, 2016, INTERSPEECH.

Label-Driven Time-Frequency Masking for Robust Speech Command Recognition

Sunil Kumar Kopparapu, Imran Sheikh, Meet H. Soni, 2019, TSD.

A robust speech biometric system for vehicle access

Sunil Kumar Kopparapu, 2009, 2009 IEEE International Conference on Vehicular Electronics and Safety (ICVES).

Front-End Feature Compensation and Denoising for Noise Robust Speech Emotion Recognition

Sunil Kumar Kopparapu, Ashish Panda, Sonal Joshi, 2019, INTERSPEECH.

7. A mobile phone-based platform for asynchronous speech therapy

Sunil Kumar Kopparapu, Chitralekha Bhat, Anjali Kant, 2020 .

Ranking Contact Center Conversations using Dynamic Programming based Pattern Matching

Sunil Kumar Kopparapu, Rupayan Chakraborty, Meghna Pandharipande, 2020 .

Technique for automatic sentence level alignment of long speech and transcripts

Sunil Kumar Kopparapu, Imran Ahmed, 2013, INTERSPEECH.

Robust phonetic segmentation using multi-taper spectral estimation for noisy and clipped speech

Sunil Kumar Kopparapu, Chitralekha Bhat, Bhavik Vachhani, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

A Framework for On-Line Devanagari Handwritten Character Recognition pdf

Sunil Kumar Kopparapu, V. L. Lajish, 2014, ArXiv.

Automatic ranking of essays using structural and semantic features

Sunil Kumar Kopparapu, Arijit De, 2016, 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Parametric influence of speaker verification system — An experimental study

Sunil Kumar Kopparapu, 2012, 2012 International Conference on Emerging Trends in Science, Engineering and Technology (INCOSET).

A suite of mobile applications to assist speaking at right speed

Sunil Kumar Kopparapu, Imran Ahmed, Meghna Pandharipande, 2013, SLaTE.

A Fuzzy Approach to Mute Sensitive Information in Noisy Audio Conversations

Sunil Kumar Kopparapu, Imran Sheikh, Srinivas Chalamala, 2019, Computación y Sistemas.

Improved I-vector-based Speaker Recognition for Utterances with Speaker Generated Non-speech sounds pdf

Sunil Kumar Kopparapu, Ashish Panda, Sri Harsha Dumpala, 2017, ArXiv.

A Novel Approach for Effective Learning in Low Resourced Scenarios pdf

Sunil Kumar Kopparapu, Sri Harsha Dumpala, Rupayan Chakraborty, 2017, ArXiv.

Fuzzy Directional Features for unconstrained on-line Devanagari handwriting recognition

Sunil Kumar Kopparapu, V. L. Lajish, V. Lajish, 2010, 2010 National Conference On Communications (NCC).

Minimal Parsing Key Concept Based Question Answering System

Sunil Kumar Kopparapu, P. V. S. Rao, Akhilesh Srivastava, 2007, HCI.

Spoken Indian language classification using artificial neural network — An experimental study

Sunil Kumar Kopparapu, Bakshi Aarti, 2017, 2017 4th International Conference on Signal Processing and Integrated Networks (SPIN).

Viseme comparison based on phonetic cues for varying speech accents

Sunil Kumar Kopparapu, Chitralekha Bhat, 2015, INTERSPEECH.

Mixed Language Speech Recognition without Explicit Identification of Language

Sunil Kumar Kopparapu, Kiran Bhuvanagirir, 2012 .

Visual Subtitles for Internet Videos

Sunil Kumar Kopparapu, Imran Ahmed, Chitralekha Bhat, 2013, SLPAT.

Automatic extraction of usable information from unstructured resumes to aid search

Sunil Kumar Kopparapu, 2010, 2010 IEEE International Conference on Progress in Informatics and Computing.

A Multi-criteria Text Selection Approach for Building a Speech Corpus

Sunil Kumar Kopparapu, Chiragkumar Patel, 2015, TSD.

Sentiment Analysis using Imperfect Views from Spoken Language and Acoustic Modalities

Sunil Kumar Kopparapu, Sri Harsha Dumpala, Imran Sheikh, 2018 .

Knowledge driven Offline to Online Script Conversion pdf

Sunil Kumar Kopparapu, P. V. S. Rao, Devanuj, 2015, ArXiv.

Knotless spline noise removal technique for improved OHCR

Sunil Kumar Kopparapu, Vinod Kumar Pandey, VL Lajish, 2010, 2010 International Conference on Signal and Image Processing.

On the use of stress information in speech for speaker recognition

Sunil Kumar Kopparapu, M. LaxmiNarayana, 2009, TENCON 2009 - 2009 IEEE Region 10 Conference.

A multiresolution based image segmentation

Sunil Kumar Kopparapu, Peter Corke, Priyantha Mudalige, 1999 .

Modified Mel Filter Bank to Compute MFCC of Subsampled Speech pdf

Sunil Kumar Kopparapu, Kiran Kumar Bhuvanagiri, K. Bhuvanagiri, 2014, ArXiv.

Dissecting the Monograph

Sunil Kumar Kopparapu, P. V. S. Rao, 2018 .

A rule-based Short Query Intent Identification System

Sunil Kumar Kopparapu, Arijit De, 2010, 2010 International Conference on Signal and Image Processing.

Voice Based Self Help System: User Experience Vs Accuracy pdf

Sunil Kumar Kopparapu, 2008, SCSS.

Analyzing Emotion in Spontaneous Speech

Sunil Kumar Kopparapu, Rupayan Chakraborty, Meghna Pandharipande, 2018, Springer Singapore.

FEMH Voice Data Challenge: Voice disorder Detection and Classification using Acoustic Descriptors

Sunil Kumar Kopparapu, Chitralekha Bhat, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Mobile Phone Based Vehicle License Plate Recognition for Road Policing pdf

Sunil Kumar Kopparapu, V. L. Lajish, V. Lajish, 2015, ArXiv.

Indexing of multilingual news telecast using audio-visual keywords

Ashish Khare, Sunil Kumar Kopparapu, Hiranmay Ghosh, 2010, 2010 2nd European Workshop on Visual Information Processing (EUVIP).

A Mobile Phone based Speech Therapist pdf

Sunil Kumar Kopparapu, Arun Pande, Vinod Kumar Pandey, 2016, ArXiv.

An Optimization Approach to Identify the Best Sell Market

Sunil Kumar Kopparapu, Vikram Saxena, 2013, 2013 UKSim 15th International Conference on Computer Modelling and Simulation.

Enhanced Quality of Experience through IVR Mashup to Access Same Service Multiple Operator Services

Sunil Kumar Kopparapu, Imran Ahmed, 2011, ACC.

Evaluating Robustness of a Rule-Based System

Sunil Kumar Kopparapu, 2010, IC-AI.

End-to-End Spoken Language Understanding: Bootstrapping in Low Resource Scenarios

Sunil Kumar Kopparapu, Sri Harsha Dumpala, Imran Sheikh, 2019, INTERSPEECH.

Sentiment Classification on Erroneous ASR Transcripts: A Multi View Learning Approach

Sunil Kumar Kopparapu, Sri Harsha Dumpala, Imran Sheikh, 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).

Improving Indian Spoken-Language Identification by Feature Selection in Duration Mismatch Framework

Sunil Kumar Kopparapu, Aarti Bakshi, 2021, SN Comput. Sci..

Feature selection for improving Indian spoken language identification in utterance duration mismatch condition

Sunil Kumar Kopparapu, Aarti Bakshi, 2021, Bulletin of Electrical Engineering and Informatics.

Automatic Speaker Independent Dysarthric Speech Intelligibility Assessment System

Sunil Kumar Kopparapu, Ayush Tripathi, Swapnil Bhosale, 2021, Comput. Speech Lang..

Audio-Visual Fusion for Sentiment Classiﬁcation using Cross-Modal Autoencoder

Sunil Kumar Kopparapu, Imran A. Sheikh, I. Sheikh, 2018 .

Identifying Optimal Gaussian Filter for Gaussian Noise Removal

Sunil Kumar Kopparapu, M. Satish, M. Satish, 2011, 2011 Third National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics.

Do You Mean What You Say? Recognizing Emotions in Spontaneous Speech

Sunil Kumar Kopparapu, Rupayan Chakraborty, Meghna Pandharipande, 2017 .

Real time speaking rate monitoring system

Sunil Kumar Kopparapu, Meghna Abhishek Pandharipande, 2011, 2011 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC).

Using noise statistics for effective noise filtering

Sunil Kumar Kopparapu, 2015, TENCON 2015 - 2015 IEEE Region 10 Conference.

Automatic quantification of escherichia coli bacteria to determine the potability of water

Sunil Kumar Kopparapu, S. Kimbahune, S. M. Ghouse, 2016, 2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC).

Identifying the best market to sell: A cost function formulation

Sunil Kumar Kopparapu, Vikram Saxena, 2014 .

Identification of Dementia Using Audio Biomarkers

Sunil Kumar Kopparapu, Rupayan Chakraborty, Meghna Pandharipande, 2020, ArXiv.

Enhancing spoken connected-digit recognition accuracy by error correction codes — A novel scheme

Sunil Kumar Kopparapu, Sunil Kumar Kopparapu, P. V. S. Rao, 2004 .