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Overview Repositories 18 Projects Packages Stars 207
18 followers · 1 following

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Mak-Sim/README.md

Research Repository – Maxim Vashkevich

This repository contains code, data, and supplementary materials for the research projects led by Maxim Vashkevich.
My work focuses on digital signal processing, machine and deep learning.

Contents

  • Implementations of speech processing algorithms (e.g., pitch estimation, perturbation analysis and etc)
  • Learned Separable Transform (LST)
  • Multicolumn CNN based on LST
  • Warped filter bank, Fast recursive Discrete Cosine Transform (DCT)
  • Speech Emotion Recognition (SER)

Pinned Loading

  1. MCNN-LST-Image-Recognition MCNN-LST-Image-Recognition Public

    Official PyTorch implementation of MCNN-LST: lightweight CNNs with Learned Separable Transform for efficient image recognition

    Jupyter Notebook 1

  2. Troparion Troparion Public

    Matlab tools for pathological voice analysis

    MATLAB 14 6

  3. IRAPT IRAPT Public

    Instantaneous pitch estimation based on RAPT framework (EUSIPCO-2012)

    MATLAB 11 2

  4. Minsk2020_ALS_database Minsk2020_ALS_database Public

    Classification of ALS patients based on acoustic analysis of sustained vowel phonations

    8

  5. LST-2d LST-2d Public

    LST - alternative to fullyconnected layer for NN. Key feature: reduced number of parameters

    Jupyter Notebook 3 2

  6. Fast_recursive_DCT Fast_recursive_DCT Public

    A low multiplicative complexity fast recursive DCT-2 algorithm

    MATLAB 1 1

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