Rupayan Chakraborty

According to our database, Rupayan Chakraborty authored at least 45 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Identifying Indian Cattle Behaviour Using Acoustic Biomarkers.

Ruturaj Patil, Hemavathy B, Sanat Sarangi, Dineshkumar Singh, Rupayan Chakraborty, Sanket Junagade, Srinivasu Pappula

Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

Joint Class Learning with Self Similarity Projection for EEG Emotion Recognition.

Upasana Tiwari, Rupayan Chakraborty, Sunil Kumar Kopparapu

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

2023

A Novel Metric For Evaluating Audio Caption Similarity.

Swapnil Bhosale, Rupayan Chakraborty, Sunil Kumar Kopparapu

Proceedings of the IEEE International Conference on Acoustics, 2023

Modeling of Olfactory Brainwaves for Odour Independent Biometric Identification.

Meghna Pandharipande, Rupayan Chakraborty, Sunil Kumar Kopparapu

Proceedings of the 31st European Signal Processing Conference, 2023

Tempo-Spectral EEG Biomarkers for Odour Identification.

Meghna Pandharipande, Upasana Tiwari, Rupayan Chakraborty, Sunil Kumar Kopparapu

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Text-to-Audio Grounding Based Novel Metric for Evaluating Audio Caption Similarity.

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

Automatic Audio Captioning using Attention weighted Event based Embeddings.

Swapnil Bhosale, Rupayan Chakraborty, Sunil Kumar Kopparapu

CoRR, 2022

Calibration free meta learning based approach for subject independent EEG emotion recognition.

Swapnil Bhosale, Rupayan Chakraborty, Sunil Kumar Kopparapu

Biomed. Signal Process. Control., 2022

2021

Semi Supervised Learning For Few-shot Audio Classification By Episodic Triplet Mining.

Swapnil Bhosale, Rupayan Chakraborty, Sunil Kumar Kopparapu

CoRR, 2021

Contrastive Learning of Cough Descriptors for Automatic COVID-19 Preliminary Diagnosis.

Swapnil Bhosale, Upasana Tiwari, Rupayan Chakraborty, Sunil Kumar Kopparapu

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Deep Lung Auscultation Using Acoustic Biomarkers for Abnormal Respiratory Sound Event Detection.

Upasana Tiwari, Swapnil Bhosale, Rupayan Chakraborty, Sunil Kumar Kopparapu

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Identification of Dementia Using Audio Biomarkers.

Rupayan Chakraborty, Meghna Pandharipande, Chitralekha Bhat, Sunil Kumar Kopparapu

CoRR, 2020

A Novel Adaptive Minority Oversampling Technique for Improved Classification in Data Imbalanced Scenarios.

Ayush Tripathi, Rupayan Chakraborty, Sunil Kumar Kopparapu

Proceedings of the 25th International Conference on Pattern Recognition, 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

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

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

Swapnil Bhosale, Rupayan Chakraborty, Sunil Kumar Kopparapu

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Dementia Classification using Acoustic Descriptors Derived from Subsampled Signals.

Ayush Triapthi, Rupayan Chakraborty, Sunil Kumar Kopparapu

Proceedings of the 28th European Signal Processing Conference, 2020

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

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

Rupayan Chakraborty, Ashish Panda, Meghna Pandharipande, Sonal Joshi, Sunil Kumar Kopparapu

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Improving ASR Robustness to Perturbed Speech Using Cycle-consistent Generative Adversarial Networks.

Sri Harsha Dumpala, Imran A. Sheikh, Rupayan Chakraborty, Sunil Kumar Kopparapu

Proceedings of the IEEE International Conference on Acoustics, 2019

Front-End Feature Compensation for Noise Robust Speech Emotion Recognition.

Meghna Pandharipande, Rupayan Chakraborty, Ashish Panda, Biswajit Das, Sunil Kumar Kopparapu

Proceedings of the 27th European Signal Processing Conference, 2019

2018

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

Sri Harsha Dumpala, Imran A. Sheikh, Rupayan Chakraborty, Sunil Kumar Kopparapu

Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

Robust Front-End Processing For Emotion Recognition In Noisy Speech.

Meghna Pandharipande, Rupayan Chakraborty, Ashish Panda, Sunil Kumar Kopparapu

Proceedings of the 11th International Symposium on Chinese Spoken Language Processing, 2018

A Novel Data Representation for Effective Learning in Class Imbalanced Scenarios.

Sri Harsha Dumpala, Rupayan Chakraborty, Sunil Kumar Kopparapu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

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

Meghna Pandharipande, Rupayan Chakraborty, Ashish Panda, Sunil Kumar Kopparapu

Proceedings of the 26th European Signal Processing Conference, 2018

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

Sri Harsha Dumpala, Rupayan Chakraborty, Sunil Kumar Kopparapu

Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

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

A Novel Approach for Effective Learning in Low Resourced Scenarios.

Sri Harsha Dumpala, Rupayan Chakraborty, Sunil Kumar Kopparapu

CoRR, 2017

k-FFNN: A priori knowledge infused Feed-forward Neural Networks.

Sri Harsha Dumpala, Rupayan Chakraborty, Sunil Kumar Kopparapu

CoRR, 2017

Methods and challenges for creating an emotional audio-visual database.

Meghna Pandharipande, Rupayan Chakraborty, Sunil Kumar Kopparapu

Proceedings of the 20th Conference of the Oriental Chapter of the International Coordinating Committee on Speech Databases and Speech I/O Systems and Assessment, 2017

Analyzing Emotion in Spontaneous Speech

Rupayan Chakraborty, Meghna Pandharipande, Sunil Kumar Kopparapu

Springer, ISBN: 978-981-10-7673-2, 2017

2016

Validating "Is ECC-ANN combination equivalent to DNN?" for speech emotion recognition.

Rupayan Chakraborty, Sunil Kumar Kopparapu

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Mining Call Center Conversations exhibiting Similar Affective States.

Rupayan Chakraborty, Meghna Pandharipande, Sunil Kumar Kopparapu

Proceedings of the 30th Pacific Asia Conference on Language, Information and Computation, 2016

Knowledge-based Framework for Intelligent Emotion Recognition in Spontaneous Speech.

Rupayan Chakraborty, Meghna Pandharipande, Sunil Kumar Kopparapu

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016, 2016

Spontaneous speech emotion recognition using prior knowledge.

Rupayan Chakraborty, Meghna Pandharipande, Sunil Kumar Kopparapu

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Improved speech emotion recognition using error correcting codes.

Rupayan Chakraborty, Sunil Kumar Kopparapu

Proceedings of the 2016 IEEE International Conference on Multimedia & Expo Workshops, 2016

2015

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

Proceedings of the Working Notes Proceedings of the MediaEval 2015 Workshop, 2015

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

Sound-model-based acoustic source localization using distributed microphone arrays.

Rupayan Chakraborty, Climent Nadeu

Proceedings of the IEEE International Conference on Acoustics, 2014

Model-based processing for acoustic scene analysis.

Climent Nadeu, Rupayan Chakraborty, Martin Wolf

Proceedings of the 22nd European Signal Processing Conference, 2014

2013

Acoustic event detection and localization using distributed microphone arrays.

Rupayan Chakraborty

PhD thesis, 2013

Joint recognition and direction-of-arrival estimation of simultaneous meeting-room acoustic events.

Rupayan Chakraborty, Climent Nadeu

Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

Real-time multi-microphone recognition of simultaneous sounds in a room environment.

Rupayan Chakraborty, Climent Nadeu

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Detection and Positioning of Overlapped Sounds in a Room Environment.

Rupayan Chakraborty, Climent Nadeu, Taras Butko

Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012

2010

Role of Synthetically Generated Samples on Speech Recognition in a Resource-Scarce Language.

Rupayan Chakraborty, Utpal Garain

Proceedings of the 20th International Conference on Pattern Recognition, 2010