Gaurav Naithani
Gaurav Naithani
Tampere University (Former Tampere University of Technology)
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Cited by
Cited by
Low latency sound source separation using convolutional recurrent neural networks
G Naithani, T Barker, G Parascandolo, L Bramsl, NH Pontoppidan, ...
2017 IEEE Workshop on Applications of Signal Processing to Audio andá…, 2017
Improving competing voices segregation for hearing impaired listeners using a low-latency deep neural network algorithm
L Bramsl°w, G Naithani, A Hafez, T Barker, NH Pontoppidan, T Virtanen
The Journal of the Acoustical Society of America 144 (1), 172-185, 2018
Automatic segmentation of infant cry signals using hidden Markov models
G Naithani, J Kivinummi, T Virtanen, O Tammela, MJ Peltola, ...
EURASIP Journal on Audio, Speech, and Music Processing 2018, 1-14, 2018
Deep neural network based speech separation optimizing an objective estimator of intelligibility for low latency applications
G Naithani, J Nikunen, L Bramslow, T Virtanen
2018 16th International Workshop on Acoustic Signal Enhancement (IWAENCá…, 2018
Low-latency sound source separation using deep neural networks
G Naithani, G Parascandolo, T Barker, NH Pontoppidan, T Virtanen
2016 IEEE Global Conference on Signal and Information Processing (GlobalSIPá…, 2016
Low-latency deep clustering for speech separation
S Wang, G Naithani, T Virtanen
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech andá…, 2019
Deep neural network based low-latency speech separation with asymmetric analysis-synthesis window pair
S Wang, G Naithani, A Politis, T Virtanen
2021 29th European Signal Processing Conference (EUSIPCO), 301-305, 2021
A Competing Voices Test for hearing-impaired listeners applied to spatial separation and ideal time-frequency masks
L Bramsl°w, M Vatti, R Rossing, G Naithani, N Henrik Pontoppidan
Trends in hearing 23, 2331216519848288, 2019
Memory requirement reduction of deep neural networks for field programmable gate arrays using low-bit quantization of parameters
N Nicodemo, G Naithani, K Drossos, T Virtanen, R Saletti
2020 28th European Signal Processing Conference (EUSIPCO), 466-470, 2021
Memory Requirement Reduction of Deep Neural Networks Using Low-bit Quantization of Parameters
N Nicodemo, G Naithani, K Drossos, T Virtanen, R Saletti
arXiv preprint arXiv:1911.00527, 2019
Subjective evaluation of deep neural network based speech enhancement systems in real-world conditions
G Naithani, K Pietilń, R Niemist÷, E Paajanen, T Takala, T Virtanen
2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSPá…, 2022
Associations between neonatal cry acoustics and visual attention during the first year
A Kivinummi, G Naithani, O Tammela, T Virtanen, E Kurkela, M Alhainen, ...
Frontiers in Psychology 11, 577510, 2020
Dynamic Processing Neural Network Architecture for Hearing Loss Compensation
S Drgas, L Bramsl°w, A Politis, G Naithani, T Virtanen
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023
Acoustic Analysis of Infant Cry Signals
G Naithani
Evaluation of the benefit of neural network based speech separation algorithms with hearing impaired listeners
G Naithani, T Barker, G Parascandalo, L Bramsl°w, NH Pontoppidan, ...
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