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ORCIDGaurav Naithani
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2020 – today
- 2024
[b1]Gaurav Naithani:
Low-Latency Single-Channel Speech Separation with Deep Neural Networks. University of Tampere, Finland, 2024- [j2]Szymon Drgas
, Lars Bramsløw, Archontis Politis, Gaurav Naithani, Tuomas Virtanen:
Dynamic Processing Neural Network Architecture for Hearing Loss Compensation. IEEE ACM Trans. Audio Speech Lang. Process. 32: 203-214 (2024) - 2023
- [i6]Szymon Drgas, Lars Bramsløw, Archontis Politis, Gaurav Naithani, Tuomas Virtanen:
Dynamic Processing Neural Network Architecture For Hearing Loss Compensation. CoRR abs/2310.16550 (2023) - 2022
- [c7]Gaurav Naithani, Kirsi Pietilä, Riitta Niemistö, Erkki Paajanen, Tero Takala, Tuomas Virtanen:
Subjective Evaluation of Deep Neural Network Based Speech Enhancement Systems in Real-World Conditions. MMSP 2022: 1-6 - [i5]Gaurav Naithani, Kirsi Pietilä, Riitta Niemistö, Erkki Paajanen, Tero Takala, Tuomas Virtanen:
Subjective Evaluation of Deep Neural Network Based Speech Enhancement Systems in Real-World Conditions. CoRR abs/2208.05057 (2022) - 2021
- [c6]Shanshan Wang, Gaurav Naithani, Archontis Politis, Tuomas Virtanen:
Deep Neural Network Based Low-Latency Speech Separation with Asymmetric Analysis-Synthesis Window Pair. EUSIPCO 2021: 301-305 - [i4]Shanshan Wang, Gaurav Naithani, Archontis Politis, Tuomas Virtanen:
Deep neural network Based Low-latency Speech Separation with Asymmetric analysis-Synthesis Window Pair. CoRR abs/2106.11794 (2021) - 2020
- [c5]Niccolò Nicodemo, Gaurav Naithani, Konstantinos Drossos, Tuomas Virtanen, Roberto Saletti:
Memory Requirement Reduction of Deep Neural Networks for Field Programmable Gate Arrays Using Low-Bit Quantization of Parameters. EUSIPCO 2020: 466-470
2010 – 2019
- 2019
- [c4]Shanshan Wang, Gaurav Naithani, Tuomas Virtanen:
Low-latency Deep Clustering for Speech Separation. ICASSP 2019: 76-80 - [i3]Shanshan Wang, Gaurav Naithani, Tuomas Virtanen:
Low-Latency Deep Clustering For Speech Separation. CoRR abs/1902.07033 (2019) - [i2]Niccolò Nicodemo, Gaurav Naithani, Konstantinos Drossos, Tuomas Virtanen, Roberto Saletti:
Memory Requirement Reduction of Deep Neural Networks Using Low-bit Quantization of Parameters. CoRR abs/1911.00527 (2019) - 2018
- [j1]Gaurav Naithani, Jaana Kivinummi, Tuomas Virtanen, Outi Tammela, Mikko J. Peltola, Jukka M. Leppänen:
Automatic segmentation of infant cry signals using hidden Markov models. EURASIP J. Audio Speech Music. Process. 2018: 1 (2018) - [c3]Gaurav Naithani, Joonas Nikunen, Lars Bramslow, Tuomas Virtanen:
Deep Neural Network Based Speech Separation Optimizing an Objective Estimator of Intelligibility for Low Latency Applications. IWAENC 2018: 386-390 - [i1]Gaurav Naithani, Joonas Nikunen, Lars Bramsløw, Tuomas Virtanen:
Deep neural network based speech separation optimizing an objective estimator of intelligibility for low latency applications. CoRR abs/1807.06899 (2018) - 2017
- [c2]Gaurav Naithani, Tom Barker, Giambattista Parascandolo, Lars Bramslow, Niels Henrik Pontoppidan, Tuomas Virtanen:
Low latency sound source separation using convolutional recurrent neural networks. WASPAA 2017: 71-75 - 2016
- [c1]Gaurav Naithani, Giambattista Parascandolo, Tom Barker, Niels Henrik Pontoppidan, Tuomas Virtanen:
Low-latency sound source separation using deep neural networks. GlobalSIP 2016: 272-276
Coauthor Index
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