Role of Synthetically Generated Samples on Speech Recognition in a Resource-Scarce Language. - Rupayan Chakraborty; Utpal Garain (ICPR, 2010)

Detection and Positioning of Overlapped Sounds in a Room Environment. - Rupayan Chakraborty; Climent Nadeu; Taras Butko (INTERSPEECH, 2012)

Real-time multi-microphone recognition of simultaneous sounds in a room environment. - Rupayan Chakraborty; Climent Nadeu (ICASSP, 2013)

Joint recognition and direction-of-arrival estimation of simultaneous meeting-room acoustic events. - Rupayan Chakraborty; Climent Nadeu (INTERSPEECH, 2013)

Acoustic event detection and localization using distributed microphone arrays. - Rupayan Chakraborty (2013)

Model-based processing for acoustic scene analysis. - Climent Nadeu; Rupayan Chakraborty; Martin Wolf 001 (EUSIPCO, 2014)

Sound-model-based acoustic source localization using distributed microphone arrays. - Rupayan Chakraborty; Climent Nadeu (ICASSP, 2014)

Source ambiguity resolution of overlapped sounds in a multi-microphone room environment. - Rupayan Chakraborty; Climent Nadeu; Taras Butko (EURASIP J. Audio Speech Music. Process., 2014)

TCS-ILAB - MediaEval 2015: Affective Impact of Movies and Violent Scene Detection. - Rupayan Chakraborty; Avinash Kumar Maurya; Meghna Pandharipande; Ehtesham Hassan; Hiranmay Ghosh; Sunil Kumar Kopparapu (MediaEval, 2015)

Improved speech emotion recognition using error correcting codes. - Rupayan Chakraborty; Sunil Kumar Kopparapu (ICME Workshops, 2016)

Spontaneous speech emotion recognition using prior knowledge. - Rupayan Chakraborty; Meghna Pandharipande; Sunil Kumar Kopparapu (ICPR, 2016)

Knowledge-based Framework for Intelligent Emotion Recognition in Spontaneous Speech. - Rupayan Chakraborty; Meghna Pandharipande; Sunil Kumar Kopparapu (KES, 2016)

Mining Call Center Conversations exhibiting Similar Affective States. - Rupayan Chakraborty; Meghna Pandharipande; Sunil Kumar Kopparapu (PACLIC, 2016)

Validating "Is ECC-ANN combination equivalent to DNN?" for speech emotion recognition. - Rupayan Chakraborty; Sunil Kumar Kopparapu (SMC, 2016)

Analyzing Emotion in Spontaneous Speech - Rupayan Chakraborty; Meghna Pandharipande; Sunil Kumar Kopparapu (Springer, 2017)

Methods and challenges for creating an emotional audio-visual database. - Meghna Pandharipande; Rupayan Chakraborty; Sunil Kumar Kopparapu (O-COCOSDA, 2017)

k-FFNN: A priori knowledge infused Feed-forward Neural Networks. - Sri Harsha Dumpala; Rupayan Chakraborty; Sunil Kumar Kopparapu (CoRR, 2017)

A Novel Approach for Effective Learning in Low Resourced Scenarios. - Sri Harsha Dumpala; Rupayan Chakraborty; Sunil Kumar Kopparapu (CoRR, 2017)

Joint model-based recognition and localization of overlapped acoustic events using a set of distributed small microphone arrays. - Rupayan Chakraborty; Climent Nadeu (CoRR, 2017)

Knowledge-Driven Feed-Forward Neural Network for Audio Affective Content Analysis. - Sri Harsha Dumpala; Rupayan Chakraborty; Sunil Kumar Kopparapu (AAAI Workshops, 2018)

An Unsupervised frame Selection Technique for Robust Emotion Recognition in Noisy Speech. - Meghna Pandharipande; Rupayan Chakraborty; Ashish Panda; Sunil Kumar Kopparapu (EUSIPCO, 2018)

A Novel Data Representation for Effective Learning in Class Imbalanced Scenarios. - Sri Harsha Dumpala; Rupayan Chakraborty; Sunil Kumar Kopparapu (IJCAI, 2018)

Robust Front-End Processing For Emotion Recognition In Noisy Speech. - Meghna Pandharipande; Rupayan Chakraborty; Ashish Panda; Sunil Kumar Kopparapu (ISCSLP, 2018)

Sentiment Classification on Erroneous ASR Transcripts: A Multi View Learning Approach. - Sri Harsha Dumpala; Imran A. Sheikh; Rupayan Chakraborty; Sunil Kumar Kopparapu (SLT, 2018)

Front-End Feature Compensation for Noise Robust Speech Emotion Recognition. - Meghna Pandharipande; Rupayan Chakraborty; Ashish Panda; Biswajit Das; Sunil Kumar Kopparapu (EUSIPCO, 2019)

Improving ASR Robustness to Perturbed Speech Using Cycle-consistent Generative Adversarial Networks. - Sri Harsha Dumpala; Imran A. Sheikh; Rupayan Chakraborty; Sunil Kumar Kopparapu (ICASSP, 2019)

Front-End Feature Compensation and Denoising for Noise Robust Speech Emotion Recognition. - Rupayan Chakraborty; Ashish Panda; Meghna Pandharipande; Sonal Joshi; Sunil Kumar Kopparapu (INTERSPEECH, 2019)

A Cycle-GAN Approach to Model Natural Perturbations in Speech for ASR Applications. - Sri Harsha Dumpala; Imran A. Sheikh; Rupayan Chakraborty; Sunil Kumar Kopparapu (CoRR, 2019)

Dementia Classification using Acoustic Descriptors Derived from Subsampled Signals. - Ayush Triapthi; Rupayan Chakraborty; Sunil Kumar Kopparapu (EUSIPCO, 2020)

Deep Encoded Linguistic and Acoustic Cues for Attention Based End to End Speech Emotion Recognition. - Swapnil Bhosale; Rupayan Chakraborty; Sunil Kumar Kopparapu (ICASSP, 2020)

Multi-Conditioning and Data Augmentation Using Generative Noise Model for Speech Emotion Recognition in Noisy Conditions. - Upasana Tiwari; Meet H. Soni; Rupayan Chakraborty; Ashish Panda; Sunil Kumar Kopparapu (ICASSP, 2020)

A Novel Adaptive Minority Oversampling Technique for Improved Classification in Data Imbalanced Scenarios. - Ayush Tripathi; Rupayan Chakraborty; Sunil Kumar Kopparapu (ICPR, 2020)

Ranking Contact Center Conversations using Dynamic Programming based Pattern Matching. - Meghna Pandharipande; Upasana Tiwari; Rupayan Chakraborty; Sunil Kumar Kopparapu (SMM, 2020)

Identification of Dementia Using Audio Biomarkers. - Rupayan Chakraborty; Meghna Pandharipande; Chitralekha Bhat; Sunil Kumar Kopparapu (CoRR, 2020)

Deep Lung Auscultation Using Acoustic Biomarkers for Abnormal Respiratory Sound Event Detection. - Upasana Tiwari; Swapnil Bhosale; Rupayan Chakraborty; Sunil Kumar Kopparapu (ICASSP, 2021)

Contrastive Learning of Cough Descriptors for Automatic COVID-19 Preliminary Diagnosis. - Swapnil Bhosale; Upasana Tiwari; Rupayan Chakraborty; Sunil Kumar Kopparapu (Interspeech, 2021)

Semi Supervised Learning For Few-shot Audio Classification By Episodic Triplet Mining. - Swapnil Bhosale; Rupayan Chakraborty; Sunil Kumar Kopparapu (CoRR, 2021)

Calibration free meta learning based approach for subject independent EEG emotion recognition. - Swapnil Bhosale; Rupayan Chakraborty; Sunil Kumar Kopparapu (Biomed. Signal Process. Control., 2022)

Automatic Audio Captioning using Attention weighted Event based Embeddings. - Swapnil Bhosale; Rupayan Chakraborty; Sunil Kumar Kopparapu (CoRR, 2022)

Spectro Temporal EEG Biomarkers For Binary Emotion Classification. - Upasana Tiwari; Rupayan Chakraborty; Sunil Kumar Kopparapu (CoRR, 2022)

Text-to-Audio Grounding Based Novel Metric for Evaluating Audio Caption Similarity. - Swapnil Bhosale; Rupayan Chakraborty; Sunil Kumar Kopparapu (CoRR, 2022)

Tempo-Spectral EEG Biomarkers for Odour Identification. - Meghna Pandharipande; Upasana Tiwari; Rupayan Chakraborty; Sunil Kumar Kopparapu (EMBC, 2023)

Modeling of Olfactory Brainwaves for Odour Independent Biometric Identification. - Meghna Pandharipande; Rupayan Chakraborty; Sunil Kumar Kopparapu (EUSIPCO, 2023)

A Novel Metric For Evaluating Audio Caption Similarity. - Swapnil Bhosale; Rupayan Chakraborty; Sunil Kumar Kopparapu (ICASSP, 2023)

Joint Class Learning with Self Similarity Projection for EEG Emotion Recognition. - Upasana Tiwari; Rupayan Chakraborty; Sunil Kumar Kopparapu (COMAD/CODS, 2024)

Identifying Indian Cattle Behaviour Using Acoustic Biomarkers. - Ruturaj Patil; Hemavathy B; Sanat Sarangi; Dineshkumar Singh; Rupayan Chakraborty; Sanket Junagade; Srinivasu Pappula (ICPRAM, 2024)

Reinforcement Learning based Data Augmentation for Noise Robust Speech Emotion Recognition. - Sumit Ranjan; Rupayan Chakraborty; Sunil Kumar Kopparapu (INTERSPEECH, 2024)

Unifying EEG and Speech for Emotion Recognition: A Two-Step Joint Learning Framework for Handling Missing EEG Data During Inference. - Upasana Tiwari; Rupayan Chakraborty; Sunil Kumar Kopparapu (CoRR, 2025)