Towards The Development Of Accent Conversion Model For (L1)Bengali Speaker Using Cycle Consistent Adversarial Network (Cyclegan). - Sabyasachi Chandra; Puja Bharati; Shyamal Kumar Das Mandal (O-COCOSDA 2022, 2022)

Automatic Deep Neural Network-Based Segmental Pronunciation Error Detection of L2 English Speech (L1 Bengali). - Puja Bharati; Sabyasachi Chandra; Shayamal Kumar Das Mandal (INTERSPEECH, 2023)

End-to-End Cross-Lingual Voice Conversion using CycleGAN for Low Resource Indian Languages. - Parth Sanjay Khadse; Sabyasachi Chandra; Sankar Mukherjee; Puja Bharati; Debolina Pramanik; Aniket Aitawade; Shyamal Kumar Das Mandal (O-COCOSDA, 2023)

ATT:Adversarial Trained Transformer for Speech Enhancement. - Aniket Aitawade; Puja Bharati; Sabyasachi Chandra; G. Satya Prasad; Debolina Pramanik; Parth Sanjay Khadse; Shyamal Kumar Das Mandal (SPECOM (1), 2023)

Speech Enhancement Using LinkNet Architecture. - Anuj Patel; G. Satya Prasad; Sabyasachi Chandra; Puja Bharati; Shyamal Kumar Das Mandal (SPECOM (1), 2023)

End-to-End Native Language Identification Using a Modified Vision Transformer(ViT) from L2 English Speech. - Kishan Pipariya; Debolina Pramanik; Puja Bharati; Sabyasachi Chandra; Shyamal Kumar Das Mandal (SPECOM (2), 2023)

Enhancing Phoneme Recognition in the Bengali Language Through Fine-Tuning of Multilingual Model. - Akash Deep; Puja Bharati; Sabyasachi Chandra; Debolina Pramanik; Korra Siva Naik; Shayamal Kumar Das Mandal (O-COCOSDA, 2024)

Investigating Data Requirements for Hindi Speaker Recognition: A Comparative Study with English. - Parth Sanjay Khadse; Sabyasachi Chandra; Puja Bharati; Debolina Pramanik; G. Satya Prasad; Aniket Aitawade; Shyamal Kumar Das Mandal (SPECOM (2), 2024)