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ORCIDSoumitro Chakrabarty
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2020 – today
- 2024
[c13]Shrishti Saha Shetu, Soumitro Chakrabarty, Oliver Thiergart, Edwin Mabande:
Ultra Low Complexity Deep Learning Based Noise Suppression. ICASSP 2024: 466-470- 2023
- [i8]Shrishti Saha Shetu, Soumitro Chakrabarty, Oliver Thiergart, Edwin Mabande:
Ultra Low Complexity Deep Learning Based Noise Suppression. CoRR abs/2312.08132 (2023) - 2022
- [i7]Mohamed Elminshawi, Wolfgang Mack, Soumitro Chakrabarty, Emanuël A. P. Habets:
New Insights on Target Speaker Extraction. CoRR abs/2202.00733 (2022) - 2021
- [c12]Shrishti Saha Shetu, Soumitro Chakrabarty, Emanuël Anco Peter Habets:
An Empirical Study of Visual Features for DNN Based Audio-Visual Speech Enhancement in Multi-Talker Environments. ICASSP 2021: 8418-8422 - [c11]Roland Müller, Maximilian Oppelt, Bijoy Kundu, Bangalore Ramesh Akshay Agashe, Thomas Thönes, Elmar Herzer, Claudia Schuhmann, Soumitro Chakrabarty, Christian Kroos, Loreto Mateu:
Hardware/Software Co-Design of an Automatically Generated Analog NN. SAMOS 2021: 385-400 - 2020
- [c10]Wolfgang Mack, Ullas Bharadwaj, Soumitro Chakrabarty, Emanuël Anco Peter Habets:
Signal-Aware Broadband DOA Estimation Using Attention Mechanisms. ICASSP 2020: 4930-4934 - [i6]Shrishti Saha Shetu, Soumitro Chakrabarty, Emanuël Anco Peter Habets:
An Empirical Study of Visual Features for DNN based Audio-Visual Speech Enhancement in Multi-talker Environments. CoRR abs/2011.04359 (2020)
2010 – 2019
- 2019
- [j5]Soumitro Chakrabarty
, Emanuël A. P. Habets:
Multi-Speaker DOA Estimation Using Deep Convolutional Networks Trained With Noise Signals. IEEE J. Sel. Top. Signal Process. 13(1): 8-21 (2019) - [j4]Soumitro Chakrabarty, Emanuël A. P. Habets:
Time-Frequency Masking Based Online Multi-Channel Speech Enhancement With Convolutional Recurrent Neural Networks. IEEE J. Sel. Top. Signal Process. 13(4): 787-799 (2019) - [j3]Fabian-Robert Stöter, Soumitro Chakrabarty, Bernd Edler, Emanuël A. P. Habets:
CountNet: Estimating the Number of Concurrent Speakers Using Supervised Learning. IEEE ACM Trans. Audio Speech Lang. Process. 27(2): 268-282 (2019) - [c9]Soumitro Chakrabarty, Emanuël Anco Peter Habets:
Multi-scale Aggregation of Phase Information for Complexity Reduction of CNN Based DOA Estimation. EUSIPCO 2019: 1-5 - 2018
- [j2]Soumitro Chakrabarty, Emanuël A. P. Habets:
A Bayesian Approach to Informed Spatial Filtering With Robustness Against DOA Estimation Errors. IEEE ACM Trans. Audio Speech Lang. Process. 26(1): 145-160 (2018) - [c8]Fabian-Robert Stöter, Soumitro Chakrabarty, Bernd Edler, Emanuël A. P. Habets:
Classification vs. Regression in Supervised Learning for Single Channel Speaker Count Estimation. ICASSP 2018: 436-440 - [c7]Wolfgang Mack, Soumitro Chakrabarty, Fabian-Robert Stöter, Sebastian Braun, Bernd Edler, Emanuël A. P. Habets:
Single-Channel Dereverberation Using Direct MMSE Optimization and Bidirectional LSTM Networks. INTERSPEECH 2018: 1314-1318 - [c6]Soumitro Chakrabarty, DeLiang Wang, Emanuël A. P. Habets:
Time-Frequency Masking Based Online Speech Enhancement with Multi-Channel Data Using Convolutional Neural Networks. IWAENC 2018: 476-480 - [d1]Fabian-Robert Stöter, Soumitro Chakrabarty, Emanuël A. P. Habets, Bernd Edler:
LibriCount, a dataset for speaker count estimation. Zenodo, 2018
- [i5]Soumitro Chakrabarty, Emanuël Anco Peter Habets:
Multi-Speaker DOA Estimation Using Deep Convolutional Networks Trained with Noise Signals. CoRR abs/1807.11722 (2018) - [i4]Soumitro Chakrabarty, Emanuël A. P. Habets:
Multi-scale aggregation of phase information for reducing computational cost of CNN based DOA estimation. CoRR abs/1811.08552 (2018) - 2017
- [c5]Soumitro Chakrabarty, Emanuël A. P. Habets:
Broadband doa estimation using convolutional neural networks trained with noise signals. WASPAA 2017: 136-140 - [i3]Soumitro Chakrabarty, Emanuël A. P. Habets:
Broadband DOA estimation using Convolutional neural networks trained with noise signals. CoRR abs/1705.00919 (2017) - [i2]Soumitro Chakrabarty, Emanuël A. P. Habets:
Multi-Speaker Localization Using Convolutional Neural Network Trained with Noise. CoRR abs/1712.04276 (2017) - [i1]Fabian-Robert Stöter, Soumitro Chakrabarty, Bernd Edler, Emanuël A. P. Habets:
Classification vs. Regression in Supervised Learning for Single Channel Speaker Count Estimation. CoRR abs/1712.04555 (2017) - 2016
- [j1]Soumitro Chakrabarty, Emanuël A. P. Habets:
On the Numerical Instability of an LCMV Beamformer for a Uniform Linear Array. IEEE Signal Process. Lett. 23(2): 272-276 (2016) - [c4]Soumitro Chakrabarty, Oliver Thiergart, Emanuël A. P. Habets:
A Method to Analyze the Spatial Response of Informed Spatial Filters. ITG Symposium on Speech Communication 2016: 1-5 - [c3]Soumitro Chakrabarty, Deepth Pilakeezhu, Emanuël A. P. Habets:
Head-orientation compensation with video-informed single channel speech enhancement. IWAENC 2016: 1-5 - 2015
- [c2]Soumitro Chakrabarty, Oliver Thiergart, Emanuël A. P. Habets:
A Bayesian approach to spatial filtering and diffuse power estimation for joint dereverberation and noise reduction. ICASSP 2015: 753-757 - 2014
- [c1]Soumitro Chakrabarty, Konrad Kowalczyk, Maja Taseska, Emanuël A. P. Habets:
Extended Kalman filter with probabilistic data association for multiple non-concurrent speaker localization in reverberant environments. ICASSP 2014: 7445-7449
Coauthor Index
aka: Emanuël Anco Peter Habets
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