Publications

Conference Publications:

1. Zhepei Wang, Ritwik Giri, Devansh Shah, Jean-Marc Valin, Michael M Goodwin, Paris Smaragdis, “A Framework for Unified Real-Time Personalized and Non-personalized Speech Enhancement”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2023.

2. Zhepei Wang, Ritwik Giri, Shrikant Venkataramani, Umut Isik, Jean-Marc Valin, Michael M Goodwin, Arvindh Krishnaswamy, “Semi-supervised Time Domain Target Speaker Extraction with Attention”, arxiv, 2022.

3. Siyuan Yuan, Zhepei Wang, Umut Isik, Ritwik Giri, Jean-Marc Valin, Michael M Goodwin, Arvindh Krishnaswamy, “Improved Singing Voice Separation with Chromagram-Based Pitch-Aware Remixing”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022.

4. Jean-Marc Valin, Ritwik Giri, Shrikant Venkataramani, Umut Isik, Arvindh Krishnaswamy, “To Dereverb or Not to Dereverb? Perceptual Studies on Real-Time Dereverberation Targets”, arxiv, 2022.

5. Ritwik Giri, Shrikant Venkataramani, Jean-Marc Valin, Umut Isik, Arvindh Krishnaswamy, “Personalized PercepNet: Real-time, Low-complexity Target Voice Separation and Enhancement”, INTERSPEECH 2021. 

6. Zhepei Wang, Ritwik Giri, Umut Isik, Jean-Marc Valin, Arvindh Krishnaswamy, "Semi-Supervised Singing Voice Separation With Noisy Self-Training", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2021.

7. Jonah Casebeer, Vinjai Vale, Umut Isik, Jean-Marc Valin, Ritwik Giri, Arvindh Krishnaswamy, "Enhancing into the Codec: Noise Robust Speech Coding with Vector-Quantized Autoencoders",  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2021.

8. Ritwik Giri, Fangzhou Cheng, Karim Helwani, Srikanth V. Tenneti, Umut Isik, Arvindh Krishnaswamy, "Group Masked Autoencoder Based Density Estimator for Audio Anomaly Detection",  DCASE Workshop, 2020. (Best Paper Award)

9. Ritwik Giri, Srikanth V. Tenneti, Fangzhou Cheng, Karim Helwani, Umut Isik, Arvindh Krishnaswamy, "Self-supervised Classification for Detecting Anomalous Sounds", DCASE Workshop, 2020. 

10. Ritwik Giri, Srikanth V. Tenneti, Fangzhou Cheng, Karim Helwani, Umut Isik, Arvindh Krishnaswamy, "Unsupervised Anomalous Sound Detection using Self-Supervised Classification and Group Masked Autoencoder for Density Estimation", DCASE Challenge, 2020. (DCASE Challenge Task 2 Winner)

11. Jean-Marc Valin, Neerad Phansalkar, Umut Isik, Ritwik Giri, Karim Helwani, Arvindh Krishnaswamy, “A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband Speech”, INTERSPEECH 2020. 

12. Umut Isik, Ritwik Giri, Neerad Phansalkar, Jean-Marc Valin, Karim Helwani, Arvindh Krishnaswamy, "PoCoNet: Better Speech Enhancement with Frequency-Positional Embeddings, Semi-Supervised Conversational Data, and Biased Loss ",  INTERSPEECH 2020. (DNS Challenge Winner)

13. Bahareh Tolooshams, Ritwik Giri, Andrew H. Song, Umut Isik, and Arvindh Krishnaswamy, "Channel-Attention Dense U-Net for Multichannel Speech Enhancement", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020.

14. Marcello Federico, Robert Enyedi, Roberto Barra-Chicote, Ritwik Giri, Umut Isik, Arvindh Krishnaswamy, "From Speech-to-Speech Translation to Automatic Dubbing", IWSLT, 2020.

15. Ritwik Giri, Arvindh Krishnaswamy, Karim Helwani, "Robust Non-negative Block Sparse Coding for Acoustic Novelty Detection", Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE) 2019. 

16. Ritwik Giri, Umut Isik, Arvindh Krishnaswamy, "Attention Wave-U-Net for Speech Enhancement", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) 2019.

17. Ritwik Giri, Karim Helwani, Tao Zhang, "Annoyance Model Driven Selective Active Noise Control", 52nd Annual Asilomar Conference on Signals, Systems and Computers, 2018. 

18. Yan Zhao, Buye Xu, Ritwik Giri, Tao Zhang, "Perceptually Guided Speech Enhancement using Deep Neural Networks", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2018.

19. Tharun Adithya Srikrishnan, Bhaskar D. Rao, Ritwik Giri, Tao Zhang, "Improved Noise Characterization for Relative Impulse Response Estimation", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2018.

20. Ritwik Giri, Karim Helwani, Tao Zhang, "A Novel Target Speaker Dependent Postfiltering Approach for Multichannel Speech Enhancement”,  IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) 2017.

21. Ritwik Giri, Bhaskar D. Rao, “Multivariate Scale Mixtures for Joint Sparse Regularization in Multi-Task Learning”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2017. 

22. Ritwik Giri, Tao Zhang, “Bayesian Blind Deconvolution with Application to Acoustic Feedback Path Modeling”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2017. 

23. I. Fedorov, Ritwik Giri, Bhaskar D. Rao, Truong Q. Nguyen, "Robust Bayesian Simultaneous Block Sparse Signal Recovery with Applications to Face Recognition",  IEEE International Conference on Image Processing (ICIP), 2016.

24. I. Fedorov, Ritwik Giri, C. Lee, A. Nalci, H. Garudadri, Bhaskar D. Rao, "Hearing Protection and Communication in the Presence of  Extreme Industrial Noise", Technical Report, 2016.

25. Ritwik Giri, Bhaskar D. Rao, Fred Mustiere, Tao Zhang,  “Dynamic Relative Impulse Response Estimation using Structured Sparse Bayesian Learning”,  41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2016.

26. Karan Sikka, Ritwik Giri, Marian Bartlett, "Joint Clustering and Classification for Multiple Instance Learning",  26th British Machine Vision Conference (BMVC), 2015.

27. Ritwik Giri, Bhaskar D. Rao, "Hierarchical ​Bayesian Formulation of Sparse Signal Recovery Algorithms using Scale Mixture Priors", 49th Annual Asilomar Conference on Signals, Systems and Computers, 2015 (Invited paper).

28. Ritwik Giri, Michael L. Seltzer, Dong Yu, Jasha M. Droppo, "Improving Speech Recognition in Reverberation using a Room-aware Deep Neural Network and Multi-Task Learning", 40th IEEE International conference on Acoustics, Speech and Signal Processing (ICASSP), 2015.

29. Ritwik Giri, Bhaskar D. Rao, "Bootstrapped Sparse Bayesian Learning for Sparse Signal Recovery", 48th Annual Asilomar Conference on Signals, Systems and Computers, 2014 (talk).

30. Ritwik Giri, Bhaskar D. Rao, “Block Sparse excitation based All-Pole modeling with applications to Speech”, 39th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2014 (Poster). 

31. Ritwik Giri, Heesook Choi, Kevin Soo Hoo, Bhaskar D. Rao,  “User behavior modeling in a cellular  network using MapReduced Latent Dirichlet Allocation”, 15th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2014).

32. Aritra Chowdhury, Ritwik Giri, Arnob Ghosh, Swagatam Das and Ajith Abraham, "Linear Antenna Array Synthesis using Fitness-Adaptive Differential Evolution Algorithm", IEEE Congress on Evolutionary Computation (CEC) 2010, WCCI 2010, Barcelona, Spain. 

33. Ritwik Giri, Aritra Chowdhury, Arnob Ghosh, Swagatam Das, Ajith Abraham, "A Modified Invasive Weed Optimization Algorithm for Training of Feed-Forward Neural Networks", IEEE Conference on Systems, Man and Cybernetics (SMC 2010), Turkey, 2010. 

34. Arnob Ghosh, Aritra Chowdhury, Ritwik Giri, Swagatam Das, Ajith Abraham, "A Hybrid Evolutionary Direct Search Technique for Solving Optimal Control Problems", 10th International Conference on Hybrid Intelligent Systems (HIS 2010). 

35. Ritwik Giri, Aritra Chowdhury, Arnob Ghosh, Swagatam Das, B.K. Panigrahi, "Offline Parameter Estimation of Induction Motor using a Meta heuristic Algorithm", International Conference on Swarm, Evolutionary and Memetic Computing (SEMCCO) 2010. 

36. Aritra Chowdhury, Arnob Ghosh, Ritwik Giri, Swagatam Das, "Electromagnetic Antenna Configuration Optimization using Fitness Adaptive Differential Evolution", International Conference on Swarm, Evolutionary and Memetic Computing (SEMCCO) 2010.

37. Ritwik Giri, Arnob Ghosh, Aritra Chowdhury, Swagatam Das, "Multi Sensor Fusion using Fitness Adaptive Differential Evolution", International Conference on Swarm, Evolutionary and Memetic Computing (SEMCCO) 2010.

38. Ritwik Giri, Aritra Chowdhury, Arnob Ghosh, B. K. Panigrahi, "Electricity Price Forecasting : A hybrid Wavelet Transform and Evolutionary- ANN Approach",  IEEE PES - IAS Delhi Chapter organized PEDES 2010- Power India.

39. Arnob Ghosh, Aritra Chowdhury, Ritwik Giri, Swagatam Das, Sanjoy Das, "A fitness adaptation scheme for Control Parameters in Differential Evolution", Genetic and Evolutionary Computing Conference (GECCO) 2010, Portland, Oregon, USA. 

40. Ritwik Giri, Debasish Ghoshe, "Differential Evolution based Ascent Phase Trajectory Optimization for a Hypersonic Vehicle", International Conference on Swarm, Evolutionary and Memetic Computing (SEMCCO) 2010.

41. Arnob Ghosh, Aritra Chowdhury, Ritwik Giri, Swagatam Das, Ajith Abraham, "Design of Two-channel Quadrature Mirror Filter Bank Using Fitness Adaptive Differential Evolution", Second World Congress on Nature & Biologically Inspired Computing (NaBIC 2010). 

Journal Publications:

1. I. Fedorov, A. Nalci, Ritwik Giri, Bhaskar D. Rao, Truong Q. Nguyen, H. Garudadri,  "A Unified Framework for Sparse Non-negative Least Squares using Multiplicative Updates and the Non-negative Matrix Factorization Problem" Signal Processing (Elsevier) (2018).

2. I. Fedorov, Ritwik Giri, Bhaskar D. Rao, Truong Q. Nguyen, "Relevance Subject Machine: A Novel Person Re-Identification Framework". (Preprint)

3. Ritwik Giri, Tharun Srikrishnan, Bhaskar D. Rao, Tao Zhang, "Empirical Bayes based Relative Impulse Response Estimation", The Journal of the Acoustical Society of America (JASA), Special Issue: Compressive Sensing in Acoustics (2018).

4. Ritwik Giri, Bhaskar D. Rao, H. Garudadri, "Reweighted Algorithms for Independent Vector Analysis", IEEE Signal Processing Letters (2017).

5. Ritwik Giri, Bhaskar D. Rao, "Learning Distributional Parameters for Adaptive Bayesian Sparse Signal Recovery" IEEE Computational Intelligence Magazine Special Issue on "Model Complexity, Regularization and Sparsity" (2016).

6. Ritwik Giri, Bhaskar D. Rao, "Type I and Type II Bayesian Methods for Sparse Signal Recovery using Scale Mixtures"  IEEE Transactions on Signal Processing (2016).

7. Arnob Ghosh, Swagatam Das, Aritra Chowdhury, Ritwik Giri, "An improved differential evolution algorithm with fitness-based adaptation of the control parameters", Elsevier Information Sciences  (2011).

8. Arnob Ghosh, Aritra Chowdhury, Ritwik Giri, Swagatam Das,  "An ecologically inspired direct search method for solving optimal control problems with Bézier parameterization",  Elsevier Engineering Applications of Artificial Intelligence (2011).

9. Aritra Chowdhury, Arnob Ghosh,  Ritwik Giri, Swagatam Das, "Optimization of antenna configuration with a fitness-adaptive differential evolution algorithm", Progress in Electromagnetic Research B (2010).