| 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 and …, 2017 | 37 | 2017 |
| Improving competing voices segregation for hearing impaired listeners using a low-latency deep neural network algorithm L Bramsløw, G Naithani, A Hafez, T Barker, NH Pontoppidan, T Virtanen The Journal of the Acoustical Society of America 144 (1), 172-185, 2018 | 26 | 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 | 25 | 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 (IWAENC …, 2018 | 25 | 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 (GlobalSIP …, 2016 | 20 | 2016 |
| Low-latency deep clustering for speech separation S Wang, G Naithani, T Virtanen ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 14 | 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 | 7 | 2021 |
| A Competing Voices Test for hearing-impaired listeners applied to spatial separation and ideal time-frequency masks L Bramsløw, M Vatti, R Rossing, G Naithani, N Henrik Pontoppidan Trends in hearing 23, 2331216519848288, 2019 | 7 | 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 | 6 | 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 | 3 | 2019 |
| Subjective evaluation of deep neural network based speech enhancement systems in real-world conditions G Naithani, K Pietilä, R Niemistö, E Paajanen, T Takala, T Virtanen 2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP …, 2022 | 2 | 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 | 2 | 2020 |
| Dynamic Processing Neural Network Architecture for Hearing Loss Compensation S Drgas, L Bramsløw, A Politis, G Naithani, T Virtanen IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023 | | 2023 |
| Acoustic Analysis of Infant Cry Signals G Naithani | | 2015 |
| Evaluation of the benefit of neural network based speech separation algorithms with hearing impaired listeners G Naithani, T Barker, G Parascandalo, L Bramsløw, NH Pontoppidan, ... | | |
Tuomas VirtanenTampere UniversityAdresse e-mail validée de tuni.fi
