Research output per year
Research output per year
Personal profile
Education/Academic qualification
Master of Science (Technology), Information Technology
Award Date: 9 Dec 2015
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Dive into the research topics where Gaurav Naithani is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Dynamic Processing Neural Network Architecture for Hearing Loss Compensation
Drgas, S., Bramslow, L., Politis, A., Naithani, G. & Virtanen, T., 2024, In: IEEE/ACM Transactions on Audio Speech and Language Processing. 32, p. 203-214 12 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile17 Downloads (Pure) -
Low-Latency Single-Channel Speech Separation with Deep Neural Networks
Naithani, G., 2024, Tampere: Tampere University. (Tampere University Dissertations - Tampereen yliopiston väitöskirjat; vol. 1017)Research output: Book/Report › Doctoral thesis › Collection of Articles
Open Access -
Subjective Evaluation of Deep Neural Network Based Speech Enhancement Systems in Real-World Conditions
Naithani, G., Pietilä, K., Niemisto, R., Paajanen, E., Takala, T. & Virtanen, T., 2022, 2022 IEEE 24th International Workshop on Multimedia Signal Processing, MMSP 2022. IEEE, (International Workshop on Multimedia Signal Processing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access1 Citation (Scopus) -
Deep Neural Network Based Low-Latency Speech Separation with Asymmetric Analysis-Synthesis Window Pair
Wang, S., Naithani, G., Politis, A. & Virtanen, T., 2021, European Signal Processing Conference 2021. IEEE, p. 301-305 5 p. (European Signal Processing Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile6 Citations (Scopus)7 Downloads (Pure) -
Memory Requirement Reduction of Deep Neural Networks for Field Programmable Gate Arrays Using Low-Bit Quantization of Parameters
Nicodemo, N., Naithani, G., Drossos, K., Virtanen, T. & Saletti, R., 2021, 2020 28th European Signal Processing Conference (EUSIPCO). IEEE, p. 466-470 5 p. (European Signal Processing Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access5 Citations (Scopus)