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Ritwik Giri
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2020 – today
- 2024
- [c37]Masahito Togami, Jean-Marc Valin, Karim Helwani, Ritwik Giri, Umut Isik, Michael M. Goodwin:
Real-Time Stereo Speech Enhancement with Spatial-Cue Preservation Based on Dual-Path Structure. ICASSP 2024: 71-75 - 2023
- [c36]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. ICASSP 2023: 1-5 - [i11]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. CoRR abs/2302.11768 (2023) - 2022
- [c35]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. ICASSP 2022: 111-115 - [i10]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. CoRR abs/2203.15092 (2022) - [i9]Jean-Marc Valin, Ritwik Giri, Shrikant Venkataramani, Umut Isik, Arvindh Krishnaswamy:
To Dereverb Or Not to Dereverb? Perceptual Studies On Real-Time Dereverberation Targets. CoRR abs/2206.07917 (2022) - [i8]Zhepei Wang, Ritwik Giri, Shrikant Venkataramani, Umut Isik, Jean-Marc Valin, Paris Smaragdis, Michael M. Goodwin, Arvindh Krishnaswamy:
Semi-supervised Time Domain Target Speaker Extraction with Attention. CoRR abs/2206.09072 (2022) - 2021
- [c34]Zhepei Wang, Ritwik Giri, Umut Isik, Jean-Marc Valin, Arvindh Krishnaswamy:
Semi-Supervised Singing Voice Separation With Noisy Self-Training. ICASSP 2021: 31-35 - [c33]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. ICASSP 2021: 711-715 - [c32]Ritwik Giri, Shrikant Venkataramani, Jean-Marc Valin, Umut Isik, Arvindh Krishnaswamy:
Personalized PercepNet: Real-Time, Low-Complexity Target Voice Separation and Enhancement. Interspeech 2021: 1124-1128 - [i7]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. CoRR abs/2102.06610 (2021) - 2020
- [c31]Ritwik Giri, Srikanth V. Tenneti, Fangzhou Cheng, Karim Helwani, Umut Isik, Arvindh Krishnaswamy:
Self-Supervised Classification for Detecting Anomalous Sounds. DCASE 2020: 46-50 - [c30]Ritwik Giri, Fangzhou Cheng, Karim Helwani, Srikanth V. Tenneti, Umut Isik, Arvindh Krishnaswamy:
Group Masked Autoencoder Based Density Estimator for Audio Anomaly Detection. DCASE 2020: 51-55 - [c29]Bahareh Tolooshams, Ritwik Giri, Andrew H. Song, Umut Isik, Arvindh Krishnaswamy:
Channel-Attention Dense U-Net for Multichannel Speech Enhancement. ICASSP 2020: 836-840 - [c28]Jean-Marc Valin, Umut Isik, Neerad Phansalkar, Ritwik Giri, Karim Helwani, Arvindh Krishnaswamy:
A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband Speech. INTERSPEECH 2020: 2482-2486 - [c27]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: 2487-2491 - [c26]Marcello Federico, Robert Enyedi, Roberto Barra-Chicote, Ritwik Giri, Umut Isik, Arvindh Krishnaswamy, Hassan Sawaf:
From Speech-to-Speech Translation to Automatic Dubbing. IWSLT 2020: 257-264 - [i6]Marcello Federico, Robert Enyedi, Roberto Barra-Chicote, Ritwik Giri, Umut Isik, Arvindh Krishnaswamy:
From Speech-to-Speech Translation to Automatic Dubbing. CoRR abs/2001.06785 (2020) - [i5]Bahareh Tolooshams, Ritwik Giri, Andrew H. Song, Umut Isik, Arvindh Krishnaswamy:
Channel-Attention Dense U-Net for Multichannel Speech Enhancement. CoRR abs/2001.11542 (2020) - [i4]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. CoRR abs/2008.04470 (2020)
2010 – 2019
- 2019
- [c25]Ritwik Giri, Arvindh Krishnaswamy, Karim Helwani:
Robust Non-negative Block Sparse Coding for Acoustic Novelty Detection. DCASE 2019: 74-78 - [c24]Ritwik Giri, Umut Isik, Arvindh Krishnaswamy:
Attention Wave-U-Net for Speech Enhancement. WASPAA 2019: 249-253 - 2018
- [j6]Igor Fedorov, Alican Nalci, Ritwik Giri, Bhaskar D. Rao, Truong Q. Nguyen, Harinath Garudadri:
A unified framework for sparse non-negative least squares using multiplicative updates and the non-negative matrix factorization problem. Signal Process. 146: 79-91 (2018) - [c23]Ritwik Giri, Karim Helwani, Tao Zhang:
Annoyance Model Driven Selective Active Noise Control. ACSSC 2018: 1942-1946 - [c22]Tharun Adithya Srikrishnan, Bhaskar D. Rao, Ritwik Giri, Tao Zhang:
Improved Noise Characterization for Relative Impulse Response Estimation. ICASSP 2018: 411-415 - [c21]Yan Zhao, Buye Xu, Ritwik Giri, Tao Zhang:
Perceptually Guided Speech Enhancement Using Deep Neural Networks. ICASSP 2018: 5074-5078 - 2017
- [j5]Ritwik Giri, Bhaskar D. Rao, Harinath Garudadri
:
Reweighted Algorithms for Independent Vector Analysis. IEEE Signal Process. Lett. 24(4): 362-366 (2017) - [c20]Ritwik Giri, Tao Zhang:
Bayesian Blind Deconvolution with application to acoustic Feedback Path modeling. ICASSP 2017: 601-605 - [c19]Ritwik Giri, Bhaskar D. Rao:
Multivariate Scale mixtures for joint sparse regularization in multi-task learning. ICASSP 2017: 2776-2780 - [c18]Ritwik Giri, Karim Helwani, Tao Zhang:
A novel target speaker dependent postfiltering approach for multichannel speech enhancement. WASPAA 2017: 46-50 - [i3]Igor Fedorov, Ritwik Giri, Bhaskar D. Rao, Truong Q. Nguyen:
Relevance Subject Machine: A Novel Person Re-identification Framework. CoRR abs/1703.10645 (2017) - 2016
- [j4]Ritwik Giri, Bhaskar Rao:
Learning Distributional Parameters for Adaptive Bayesian Sparse Signal Recovery. IEEE Comput. Intell. Mag. 11(4): 14-23 (2016) - [j3]Ritwik Giri
Type I and Type II Bayesian Methods for Sparse Signal Recovery Using Scale Mixtures. IEEE Trans. Signal Process. 64(13): 3418-3428 (2016) - [c17]Ritwik Giri, Bhaskar D. Rao, Fred Mustiere, Tao Zhang:
Dynamic relative impulse response estimation using structured sparse Bayesian learning. ICASSP 2016: 514-518 - [c16]Igor Fedorov, Ritwik Giri, Bhaskar D. Rao, Truong Q. Nguyen:
Robust Bayesian method for simultaneous block sparse signal recovery with applications to face recognition. ICIP 2016: 3872-3876 - [i2]Igor Fedorov, Ritwik Giri, Bhaskar D. Rao, Truong Q. Nguyen:
Robust Bayesian Method for Simultaneous Block Sparse Signal Recovery with Applications to Face Recognition. CoRR abs/1605.02057 (2016) - 2015
- [c15]Ritwik Giri, Bhaskar D. Rao:
Hierarchical Bayesian formulation of Sparse Signal Recovery algorithms using scale mixture priors. ACSSC 2015: 67-71 - [c14]Karan Sikka, Ritwik Giri, Marian Stewart Bartlett:
Joint Clustering and Classification for Multiple Instance Learning. BMVC 2015: 71.1-71.12 - [c13]Ritwik Giri, Michael L. Seltzer, Jasha Droppo
Improving speech recognition in reverberation using a room-aware deep neural network and multi-task learning. ICASSP 2015: 5014-5018 - [i1]Ritwik Giri, Bhaskar D. Rao:
Type I and Type II Bayesian Methods for Sparse Signal Recovery using Scale Mixtures. CoRR abs/1507.05087 (2015) - 2014
- [c12]Ritwik Giri, Bhaskar D. Rao:
Bootstrapped sparse Bayesian learning for sparse signal recovery. ACSSC 2014: 1657-1661 - [c11]Ritwik Giri, Bhaskar D. Rao:
Block sparse excitation based all-pole modeling of speech. ICASSP 2014: 3754-3758 - [c10]Ritwik Giri, Heesook Choi, Kevin Soo Hoo, Bhaskar D. Rao:
User Behavior Modeling in a Cellular Network Using Latent Dirichlet Allocation. IDEAL 2014: 36-44 - 2011
- [j2]Arnob Ghosh, Swagatam Das
An ecologically inspired direct search method for solving optimal control problems with Bézier parameterization. Eng. Appl. Artif. Intell. 24(7): 1195-1203 (2011) - [j1]Arnob Ghosh, Swagatam Das
An improved differential evolution algorithm with fitness-based adaptation of the control parameters. Inf. Sci. 181(18): 3749-3765 (2011) - 2010
- [c9]Aritra Chowdhury, Ritwik Giri, Arnob Ghosh, Swagatam Das
Linear antenna array synthesis using fitness-adaptive differential evolution algorithm. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c8]Arnob Ghosh, Aritra Chowdhury, Ritwik Giri, Swagatam Das
A fitness-based adaptation scheme for control parameters in differential evolution. GECCO (Companion) 2010: 2075-2076 - [c7]Arnob Ghosh, Aritra Chowdhury, Ritwik Giri, Swagatam Das
A hybrid evolutionary direct search technique for solving Optimal Control problems. HIS 2010: 125-130 - [c6]Arnob Ghosh, Ritwik Giri, Aritra Chowdhury, Swagatam Das
Two-channel quadrature mirror bank filter design using a Fitness- Adaptive Differential Evolution algorithm. NaBIC 2010: 634-641 - [c5]Ritwik Giri, Debasish Ghose:
Differential Evolution Based Ascent Phase Trajectory Optimization for a Hypersonic Vehicle. SEMCCO 2010: 11-18 - [c4]Ritwik Giri, Arnob Ghosh, Aritra Chowdhury, Swagatam Das
Multi Sensor Fusion Using Fitness Adaptive Differential Evolution. SEMCCO 2010: 62-70 - [c3]Aritra Chowdhury, Arnob Ghosh, Ritwik Giri, Swagatam Das
Electromagnetic Antenna Configuration Optimization Using Fitness Adaptive Differential Evolution. SEMCCO 2010: 87-94 - [c2]Ritwik Giri, Aritra Chowdhury, Arnob Ghosh, Bijaya K. Panigrahi, Swagatam Das
Offline Parameter Estimation of Induction Motor Using a Meta Heuristic Algorithm. SEMCCO 2010: 523-530 - [c1]Ritwik Giri, Aritra Chowdhury, Arnob Ghosh, Swagatam Das
A Modified Invasive Weed Optimization Algorithm for training of feed- forward Neural Networks. SMC 2010: 3166-3173
Coauthor Index
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last updated on 2024-08-06 22:08 CEST by the dblp team
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