Voice Conversion (VC) Group NIT-DGP

Publications:

1.  S. Dhar, N. D. Jana and S. Das, "An Adaptive Learning based Generative Adversarial Network for One-To-One Voice Conversion," in IEEE Transactions on Artificial Intelligence, doi: 10.1109/TAI.2022.3149858. (link: https://ieeexplore.ieee.org/document/9709124 ) (arXiv: linkhttps://arxiv.org/abs/2104.12159)

2. "GLGAN-VC: A Guided Loss based Generative Adversarial Network for  Many-To-Many Voice Conversion", (submitted in IEEE Transactions on Neural Networks and Learning Systems, 2022 ), S. Dhar, N. D. Jana and S. Das.

3.  "An Analysis of  Performance Evaluation Metrics for Voice Conversion (VC) Models",  INDICON 2022 IEEE 19th India Council International Conference , Md. T. Akhter, P. Banerjee, , S. Dhar, N. D. Jana. (link : https://ieeexplore.ieee.org/document/10040000 )

4. Avirup Mazumder, Subhayu Ghosh, Swarup Roy, Sandipan Dhar, and Nanda Dulal Jana,"Rectified Adam Optimizer based CNN Model for Speaker Identification", 4th International Conference on Intelligent Computing and Advances in Communication (ICAC-2021).(Book: Advances in Intelligent Computing and Communication, Spinger Publication. DOI : 10.1007/978-981-19-0825-5) (link: https://link.springer.com/chapter/10.1007/978-981-19-0825-5_16)

5. "Hyper-parameter Optimization of CNN using Genetic Algorithm for Speech Command Recognition", (accepted in ADCIS 2022 conference), Sandipan Dhar, Arjun Ghosh, Avirup Mazumder, Swarup Roy and Nanda Dulal Jana.

6. "Speaker Identification Using Ensemble Learning With Deep Convolutional Features", (accepted in ADCIS 2022 conference), Sandipan Dhar, Sukonya Phukan, Rajlakshmi Gogoi, and Nanda Dulal Jana. 

7. S.Dhar, P. Banerjee, N. D. Jana, S.Das, ”Voice Conversion Using Feature Specific Loss Function based Self-Attentive Generative Adversarial Network”, 48th IEEE International Conference on Acoustics, Speech, Signal Processing ICASSP 2023 (link: https://ieeexplore.ieee.org/abstract/document/10095069).

8.  S.Dhar, MD. T. Akhter, N. D. Jana, S.Das, ”Region Normalized Relativistic Generative Adversarial Network for Non-Parallel Voice Conversion”, 48th IEEE International Conference on Acoustics, Speech, Signal Processing (ICASSP 2023) , 2022 (submitted).

9. S.Dhar, M. T. Akhter, P. Banerjee, N. D. Jana, S.Das, "FID-RPRGAN-VC: Fréchet Inception Distance Loss based Region-wise Position Normalized Relativistic GAN for Non-Parallel  Voice Conversion" , 15th Asia Pacific Signal and Information Processing Association  Annual Summit and Conference (APSIPA ASC 2023) (Submitted).  

10.  S.Dhar, A.Sen, A. Bandyopadhyay, N. D. Jana, A. Ghosh, Z. Sarayloo, "Differential Evolution Algorithm  based Hyper-Parameters Selection of Convolutional Neural Network for Speech Command Recognition", 15th Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2023) (Submitted). 

11. S.Das, S.Dhar, N. D. Jana, "Convolutional Feature based Vision Transformer Model for Speech Command Recognition", 2023 IEEE 20th India Council International Conference (INDICON) (Submitted).

12.  S.Ghosh, N. D. Jana, S.Dhar, "Analysis of Performance Evaluation Metrics for Audio Visual Voice Conversion", 2023 IEEE 20th India Council International Conference (INDICON) (Submitted).