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Zdjęcie profilowe: dr hab. inż. Marek Blok

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Rok 2024
  • Resource constrained neural network training
    Publikacja

    Modern applications of neural-network-based AI solutions tend to move from datacenter backends to low-power edge devices. Environmental, computational, and power constraints are inevitable consequences of such a shift. Limiting the bit count of neural network parameters proved to be a valid technique for speeding up and increasing efficiency of the inference process. Hence, it is understandable that a similar approach is gaining...

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Rok 2023
Rok 2022
Rok 2021
  • IFE: NN-aided Instantaneous Pitch Estimation
    Publikacja

    Pitch estimation is still an open issue in contemporary signal processing research. Nowadays, growing momentum of machine learning techniques application in the data-driven society allows for tackling this problem from a new perspective. This work leverages such an opportunity to propose a refined Instantaneous Frequency and power based pitch Estimator method called IFE. It incorporates deep neural network based pitch estimation...

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Rok 2020
Rok 2019

wyświetlono 2024 razy