WebbWe explore techniques to improve the robustness of small-footprint keyword spotting models based on deep neural networks (DNNs) in the presence of background noise and in far-field conditions. We find that system performance can be improved significantly, with rel-ative improvements up to 75% in far-field conditions, by employing WebbOur application requires a keyword spotting system with a small memory footprint, low computational cost, and high precision. To meet these requirements, we propose a …

Small-Footprint Keyword Spotting Papers With Code

Webb摘要： Keyword Spotting (KWS) remains challenging to achieve the trade-off between small footprint and high accuracy. Recently proposed metric learning approaches improved the generalizability of models for the KWS task, and 1D-CNN based KWS models have achieved the state-of-the-arts (SOTA) in terms of model size. WebbList of Wes companies, manufacturers and suppliers serving Finland inclining trend meaning

Design and Implementation of a Low Power Switched-Capacitor …

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