Analysis and investigating the confounding effect of accents in end-to-end Automatic Speech Recognition models.
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Updated
Jun 27, 2020 - Jupyter Notebook
Analysis and investigating the confounding effect of accents in end-to-end Automatic Speech Recognition models.
Code for paper: "Improved Residual Network Based on Norm-Preservation for Visual Recognition" https://doi.org/10.1016/j.neunet.2022.10.023
This repository contains the public release of the Phase-Gradient Cavitation Model. The model is constructed using conventional mathematical tools (fluid analogy, divergence, gradient behavior, and phase-differential structures), and organized using conceptual clarity inspired by the Contextual Premise Framework (CPF).
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