Gaurav Naithani

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 15

Top Topics

Stream Processing

Source Separation

Field Programmable Gate Array

Top Venues

EURASIP J. Audio Speech Music. Process.

Publications

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 (2024)
Szymon Drgas, Lars Bramsløw, Archontis Politis, Gaurav Naithani, Tuomas Virtanen
Dynamic Processing Neural Network Architecture For Hearing Loss Compensation. CoRR (2023)
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)
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 (2022)
Shanshan Wang, Gaurav Naithani, Archontis Politis, Tuomas Virtanen
Deep neural network Based Low-latency Speech Separation with Asymmetric analysis-Synthesis Window Pair. CoRR (2021)
Shanshan Wang, Gaurav Naithani, Archontis Politis, Tuomas Virtanen
Deep Neural Network Based Low-Latency Speech Separation with Asymmetric Analysis-Synthesis Window Pair. EUSIPCO (2021)
Niccoló 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)
Shanshan Wang, Gaurav Naithani, Tuomas Virtanen
Low-Latency Deep Clustering For Speech Separation. CoRR (2019)
Niccoló Nicodemo, Gaurav Naithani, Konstantinos Drossos, Tuomas Virtanen, Roberto Saletti
Memory Requirement Reduction of Deep Neural Networks Using Low-bit Quantization of Parameters. CoRR (2019)
Shanshan Wang, Gaurav Naithani, Tuomas Virtanen
Low-latency Deep Clustering for Speech Separation. ICASSP (2019)
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 (2018)
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 (2018)
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)
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)
Gaurav Naithani, Giambattista Parascandolo, Tom Barker, Niels Henrik Pontoppidan, Tuomas Virtanen
Low-latency sound source separation using deep neural networks. GlobalSIP (2016)