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Sunil Kumar Kopparapu
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Publications
- 2024
- [c79]Upasana Tiwari, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Joint Class Learning with Self Similarity Projection for EEG Emotion Recognition. COMAD/CODS 2024: 207-211 - 2023
- [c78]Meghna Pandharipande, Upasana Tiwari, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Tempo-Spectral EEG Biomarkers for Odour Identification. EMBC 2023: 1-4 - [c77]Ashish Panda, Rajul Acharya, Sunil Kumar Kopparapu:
Oral Fluency Classification for Speech Assessment. EUSIPCO 2023: 231-235 - [c76]Meghna Pandharipande, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Modeling of Olfactory Brainwaves for Odour Independent Biometric Identification. EUSIPCO 2023: 1140-1144 - [c75]Swapnil Bhosale, Rupayan Chakraborty, Sunil Kumar Kopparapu:
A Novel Metric For Evaluating Audio Caption Similarity. ICASSP 2023: 1-5 - [c73]Meghna Pandharipande, Sunil Kumar Kopparapu:
Candidate Speech Extraction from Multi-speaker Single-Channel Audio Interviews. SPECOM (1) 2023: 210-221 - 2022
- [j13]Swapnil Bhosale, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Calibration free meta learning based approach for subject independent EEG emotion recognition. Biomed. Signal Process. Control. 72(Part): 103289 (2022) - [c72]Aditya Raikar, Meet H. Soni, Ashish Panda, Sunil Kumar Kopparapu:
Acoustic Model Adaptation In Reverberant Conditions Using Multi-task Learned Embeddings. EUSIPCO 2022: 145-149 - [c71]Kaustuv Mukherji, Meghna Pandharipande, Sunil Kumar Kopparapu:
Improved Language Models for ASR using Written Language Text. NCC 2022: 362-366 - [c70]Karan Nathwani, Bhavya Dixit, Sunil Kumar Kopparapu:
Using Performance of ASR to Compute Optimal Location of Microphone. SPCOM 2022: 1-5 - [i33]Monisankha Pal, Aditya Raikar, Ashish Panda, Sunil Kumar Kopparapu:
Synthetic speech detection using meta-learning with prototypical loss. CoRR abs/2201.09470 (2022) - [i32]Swapnil Bhosale, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Automatic Audio Captioning using Attention weighted Event based Embeddings. CoRR abs/2201.12352 (2022) - [i31]Upasana Tiwari, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Spectro Temporal EEG Biomarkers For Binary Emotion Classification. CoRR abs/2202.03271 (2022) - [i30]Karan Nathwani, Bhavya Dixit, Sunil Kumar Kopparapu:
Computing Optimal Location of Microphone for Improved Speech Recognition. CoRR abs/2203.13259 (2022) - [i29]Swapnil Bhosale, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Text-to-Audio Grounding Based Novel Metric for Evaluating Audio Caption Similarity. CoRR abs/2210.06354 (2022) - 2021
- [j12]Ayush Tripathi, Swapnil Bhosale, Sunil Kumar Kopparapu:
Automatic speaker independent dysarthric speech intelligibility assessment system. Comput. Speech Lang. 69: 101213 (2021) - [c69]Upasana Tiwari, Swapnil Bhosale, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Deep Lung Auscultation Using Acoustic Biomarkers for Abnormal Respiratory Sound Event Detection. ICASSP 2021: 1305-1309 - [c68]Karan Nathwani, Sunil Kumar Kopparapu:
Impact of Microphone position Measurement Error on Multi Channel Distant Speech Recognition & Intelligibility. ICON 2021: 186-194 - [c67]Swapnil Bhosale, Upasana Tiwari, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Contrastive Learning of Cough Descriptors for Automatic COVID-19 Preliminary Diagnosis. Interspeech 2021: 946-950 - [i28]Swapnil Bhosale, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Semi Supervised Learning For Few-shot Audio Classification By Episodic Triplet Mining. CoRR abs/2102.08074 (2021) - [i27]Ayush Tripathi, Swapnil Bhosale, Sunil Kumar Kopparapu:
Automatic Speaker Independent Dysarthric Speech Intelligibility Assessment System. CoRR abs/2103.06157 (2021) - [i26]Ayush Tripathi, Rupayan Chakraborty, Sunil Kumar Kopparapu:
A Novel Adaptive Minority Oversampling Technique for Improved Classification in Data Imbalanced Scenarios. CoRR abs/2103.13823 (2021) - 2020
- [c65]Ayush Tripathi, Sunil Kumar Kopparapu:
CNN based Parkinson's Disease Assessment using Empirical Mode Decomposition. CIKM (Workshops) 2020 - [c64]Ayush Triapthi, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Dementia Classification using Acoustic Descriptors Derived from Subsampled Signals. EUSIPCO 2020: 91-95 - [c63]Ayush Tripathi, Swapnil Bhosale, Sunil Kumar Kopparapu:
Improved Speaker Independent Dysarthria Intelligibility Classification Using Deepspeech Posteriors. ICASSP 2020: 6114-6118 - [c62]Ayush Tripathi, Swapnil Bhosale, Sunil Kumar Kopparapu:
A Novel Approach for Intelligibility Assessment in Dysarthric Subjects. ICASSP 2020: 6779-6783 - [c61]Swapnil Bhosale, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Deep Encoded Linguistic and Acoustic Cues for Attention Based End to End Speech Emotion Recognition. ICASSP 2020: 7189-7193 - [c60]Upasana Tiwari, Meet H. Soni, Rupayan Chakraborty, Ashish Panda, Sunil Kumar Kopparapu:
Multi-Conditioning and Data Augmentation Using Generative Noise Model for Speech Emotion Recognition in Noisy Conditions. ICASSP 2020: 7194-7198 - [c59]Ayush Tripathi, Rupayan Chakraborty, Sunil Kumar Kopparapu:
A Novel Adaptive Minority Oversampling Technique for Improved Classification in Data Imbalanced Scenarios. ICPR 2020: 10650-10657 - [c58]Aditya Raikar, Karan Nathwani, Ashish Panda, Sunil Kumar Kopparapu:
Effect of Microphone Position Measurement Error on RIR and its Impact on Speech Intelligibility and Quality. INTERSPEECH 2020: 5056-5060 - [d1]Sunil Kumar Kopparapu, Imran A. Sheikh, Venkata Krishna Thanneeru:
iNoise Indian Noise Database. IEEE DataPort, 2020 - [i25]Rupayan Chakraborty, Meghna Pandharipande, Chitralekha Bhat, Sunil Kumar Kopparapu:
Identification of Dementia Using Audio Biomarkers. CoRR abs/2002.12788 (2020) - [i24]Bhavik Vachhani, Chitralekha Bhat, Sunil Kumar Kopparapu:
Robust Phonetic Segmentation Using Spectral Transition measure for Non-Standard Recording Environments. CoRR abs/2004.14859 (2020) - 2019
- [j10]Imran A. Sheikh, Balamallikarjuna Garlapati, Srinivas Chalamala, Sunil Kumar Kopparapu:
A Fuzzy Approach to Mute Sensitive Information in Noisy Audio Conversations. Computación y Sistemas 23(3) (2019) - [c57]Chitralekha Bhat, Sunil Kumar Kopparapu:
Identification of Alzheimer's Disease using Non-linguistic Audio Descriptors. EUSIPCO 2019: 1-5 - [c56]Meghna Pandharipande, Rupayan Chakraborty, Ashish Panda, Biswajit Das, Sunil Kumar Kopparapu:
Front-End Feature Compensation for Noise Robust Speech Emotion Recognition. EUSIPCO 2019: 1-5 - [c55]Sri Harsha Dumpala, Imran A. Sheikh, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Improving ASR Robustness to Perturbed Speech Using Cycle-consistent Generative Adversarial Networks. ICASSP 2019: 5726-5730 - [c54]Swapnil Bhosale, Imran A. Sheikh, Sri Harsha Dumpala, Sunil Kumar Kopparapu:
End-to-End Spoken Language Understanding: Bootstrapping in Low Resource Scenarios. INTERSPEECH 2019: 1188-1192 - [c53]Rupayan Chakraborty, Ashish Panda, Meghna Pandharipande, Sonal Joshi, Sunil Kumar Kopparapu:
Front-End Feature Compensation and Denoising for Noise Robust Speech Emotion Recognition. INTERSPEECH 2019: 3257-3261 - [c52]Meet H. Soni, Imran A. Sheikh, Sunil Kumar Kopparapu:
Label-Driven Time-Frequency Masking for Robust Speech Command Recognition. TSD 2019: 341-351 - [i22]Sri Harsha Dumpala, Imran A. Sheikh, Rupayan Chakraborty, Sunil Kumar Kopparapu:
A Cycle-GAN Approach to Model Natural Perturbations in Speech for ASR Applications. CoRR abs/1912.11151 (2019) - 2018
- [c51]Sri Harsha Dumpala, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Knowledge-Driven Feed-Forward Neural Network for Audio Affective Content Analysis. AAAI Workshops 2018: 16-20 - [c50]Chitralekha Bhat, Sunil Kumar Kopparapu:
FEMH Voice Data Challenge: Voice disorder Detection and Classification using Acoustic Descriptors. IEEE BigData 2018: 5233-5237 - [c49]Meghna Pandharipande, Rupayan Chakraborty, Ashish Panda, Sunil Kumar Kopparapu:
An Unsupervised frame Selection Technique for Robust Emotion Recognition in Noisy Speech. EUSIPCO 2018: 2055-2059 - [c48]Sri Harsha Dumpala, Rupayan Chakraborty, Sunil Kumar Kopparapu:
A Novel Data Representation for Effective Learning in Class Imbalanced Scenarios. IJCAI 2018: 2100-2106 - [c47]Chitralekha Bhat, Biswajit Das, Bhavik Vachhani, Sunil Kumar Kopparapu:
Dysarthric Speech Recognition Using Time-delay Neural Network Based Denoising Autoencoder. INTERSPEECH 2018: 451-455 - [c46]Bhavik Vachhani, Chitralekha Bhat, Sunil Kumar Kopparapu:
Data Augmentation Using Healthy Speech for Dysarthric Speech Recognition. INTERSPEECH 2018: 471-475 - [c45]Sri Harsha Dumpala, Ashish Panda, Sunil Kumar Kopparapu:
Analysis of the Effect of Speech-Laugh on Speaker Recognition System. INTERSPEECH 2018: 1751-1755 - [c44]Meghna Pandharipande, Rupayan Chakraborty, Ashish Panda, Sunil Kumar Kopparapu:
Robust Front-End Processing For Emotion Recognition In Noisy Speech. ISCSLP 2018: 324-328 - [c43]Sri Harsha Dumpala, Imran A. Sheikh, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Sentiment Classification on Erroneous ASR Transcripts: A Multi View Learning Approach. SLT 2018: 807-814 - 2017
- [b1]Rupayan Chakraborty, Meghna Pandharipande, Sunil Kumar Kopparapu:
Analyzing Emotion in Spontaneous Speech. Springer 2017, ISBN 978-981-10-7673-2, pp. 1-81 - [c42]Chitralekha Bhat, Bhavik Vachhani, Sunil Kumar Kopparapu:
Automatic assessment of dysarthria severity level using audio descriptors. ICASSP 2017: 5070-5074 - [c41]Sunil Kumar Kopparapu, C. Anantaram:
Correcting General Purpose ASR Errors using Posteriors. ICON 2017: 283-289 - [c40]Sri Harsha Dumpala, Sunil Kumar Kopparapu:
Improved speaker recognition system for stressed speech using deep neural networks. IJCNN 2017: 1257-1264 - [c39]Chitralekha Bhat, Anjali Kant, Bhavik Vachhani, Sarita Rautara, Ashok Kumar Sinha, Sunil Kumar Kopparapu:
MoPAReST - Mobile Phone Assisted Remote Speech Therapy Platform. INTERSPEECH 2017: 819-820 - [c38]Bhavik Vachhani, Chitralekha Bhat, Biswajit Das, Sunil Kumar Kopparapu:
Deep Autoencoder Based Speech Features for Improved Dysarthric Speech Recognition. INTERSPEECH 2017: 1854-1858 - [c37]Meghna Pandharipande, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Methods and challenges for creating an emotional audio-visual database. O-COCOSDA 2017: 1-6 - [c36]Bhavik Vachhani, Chitralekha Bhat, Sunil Kumar Kopparapu:
Phonetic Segmentation Using Knowledge from Visual and Perceptual Domain. TSD 2017: 393-401 - [i21]Sri Harsha Dumpala, Rupayan Chakraborty, Sunil Kumar Kopparapu:
k-FFNN: A priori knowledge infused Feed-forward Neural Networks. CoRR abs/1704.07055 (2017) - [i20]Sri Harsha Dumpala, Ashish Panda, Sunil Kumar Kopparapu:
Improved I-vector-based Speaker Recognition for Utterances with Speaker Generated Non-speech sounds. CoRR abs/1705.09289 (2017) - [i19]C. Anantaram, Sunil Kumar Kopparapu:
Adapting general-purpose speech recognition engine output for domain-specific natural language question answering. CoRR abs/1710.06923 (2017) - [i18]Sri Harsha Dumpala, Rupayan Chakraborty, Sunil Kumar Kopparapu:
A Novel Approach for Effective Learning in Low Resourced Scenarios. CoRR abs/1712.05608 (2017) - 2016
- [c35]Bhavik Vachhani, Chitralekha Bhat, Sunil Kumar Kopparapu:
Robust phonetic segmentation using multi-taper spectral estimation for noisy and clipped speech. EUSIPCO 2016: 1343-1347 - [c32]Rupayan Chakraborty, Sunil Kumar Kopparapu:
Improved speech emotion recognition using error correcting codes. ICME Workshops 2016: 1-6 - [c31]Rupayan Chakraborty, Meghna Pandharipande, Sunil Kumar Kopparapu:
Spontaneous speech emotion recognition using prior knowledge. ICPR 2016: 2866-2871 - [c30]C. Anantaram, Sunil Kumar Kopparapu, Chiragkumar Patel, Aditya Mittal:
Repairing General-Purpose ASR Output to Improve Accuracy of Spoken Sentences in Specific Domains Using Artificial Development Approach. IJCAI 2016: 4234-4235 - [c29]Chitralekha Bhat, Bhavik Vachhani, Sunil Kumar Kopparapu:
Recognition of Dysarthric Speech Using Voice Parameters for Speaker Adaptation and Multi-Taper Spectral Estimation. INTERSPEECH 2016: 228-232 - [c28]Rupayan Chakraborty, Meghna Pandharipande, Sunil Kumar Kopparapu:
Knowledge-based Framework for Intelligent Emotion Recognition in Spontaneous Speech. KES 2016: 587-596 - [c27]Rupayan Chakraborty, Meghna Pandharipande, Sunil Kumar Kopparapu:
Mining Call Center Conversations exhibiting Similar Affective States. PACLIC 2016 - [c26]Rupayan Chakraborty, Sunil Kumar Kopparapu:
Validating "Is ECC-ANN combination equivalent to DNN?" for speech emotion recognition. SMC 2016: 4311-4316 - [c25]Chitralekha Bhat, Bhavik Vachhani, Sunil Kumar Kopparapu:
Improving Recognition of Dysarthric Speech Using Severity Based Tempo Adaptation. SPECOM 2016: 370-377 - 2015
- [c24]Chitralekha Bhat, Sunil Kumar Kopparapu:
Viseme comparison based on phonetic cues for varying speech accents. INTERSPEECH 2015: 3412-3416 - [c23]Rupayan Chakraborty, Avinash Kumar Maurya, Meghna Pandharipande, Ehtesham Hassan, Hiranmay Ghosh, Sunil Kumar Kopparapu:
TCS-ILAB - MediaEval 2015: Affective Impact of Movies and Violent Scene Detection. MediaEval 2015 - [c22]Chiragkumar Patel, Sunil Kumar Kopparapu:
A Multi-criteria Text Selection Approach for Building a Speech Corpus. TSD 2015: 15-22 - 2014
- [c21]Chitralekha Bhat, Apeksha Chaplot, Anjali Kant, Sunil Kumar Kopparapu:
Digitization of Hindi photo articulation test for speech sound disorders. PervasiveHealth 2014: 210-213 - [i8]Sapna Soni, Imran Ahmed, Sunil Kumar Kopparapu:
Automatic Segmentation of Broadcast News Audio using Self Similarity Matrix. CoRR abs/1403.6901 (2014) - [i6]Sunil Kumar Kopparapu, Meghna Pandharipande, G. Sita:
Music and Vocal Separation Using Multi-Band Modulation Based Features. CoRR abs/1406.2464 (2014) - 2013
- [j5]Imran Ahmed, Meghna Pandharipande, Sunil Kumar Kopparapu:
SpeakRite: Monitoring Speaking Rate in Real Time on a Mobile Phone. Int. J. Mob. Hum. Comput. Interact. 5(1): 62-69 (2013) - [c18]Imran Ahmed, Sunil Kumar Kopparapu:
Technique for automatic sentence level alignment of long speech and transcripts. INTERSPEECH 2013: 1516-1519 - [c17]Chitralekha Bhat, Imran Ahmed, Vikram Saxena, Sunil Kumar Kopparapu:
Visual Subtitles for Internet Videos. SLPAT 2013: 17-20 - [c16]Imran Ahmed, Meghna Pandharipande, Sunil Kumar Kopparapu:
A suite of mobile applications to assist speaking at right speed. SLaTE 2013: 106-108 - [c15]Vikram Saxena, Sunil Kumar Kopparapu:
An Optimization Approach to Identify the Best Sell Market. UKSim 2013: 177-181 - 2011
- [c12]Imran Ahmed, Sunil Kumar Kopparapu:
Enhanced Quality of Experience through IVR Mashup to Access Same Service Multiple Operator Services. ACC (2) 2011: 317-326 - 2010
- [j4]Hiranmay Ghosh, Sunil Kumar Kopparapu, Tanushyam Chattopadhyay, Ashish Khare, Sujal Subhash Wattamwar, Amarendra Gorai, Meghna Pandharipande:
Multimodal Indexing of Multilingual News Video. Int. J. Digit. Multim. Broadcast. 2010: 486487:1-486487:18 (2010) - [c10]Hiranmay Ghosh, Ashish Khare, Amarendra Gorai, Sunil Kumar Kopparapu, Meghna Pandharipande:
Indexing of multilingual news telecast using audio-visual keywords. EUVIP 2010: 66-70
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last updated on 2024-04-25 02:19 CEST by the dblp team
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