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its-rajesh/README.md

Hey, Its Rajesh here



I worked in the music source separation research problem, with a specific focus on removing bleeding from the live microphone recordings. In addition to my primary research, I have a strong passion for working on projects involving audio, music, images, and any mathematically inclined signal processing challenges.

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I work with

❤️ Programming Languages:
.py             ████████████████████░░░░░   80.01 %      .ipynb          ██▓░░░░░░░░░░░░░░░░░░░░░░   11.25 %
.cpp            █░░░░░░░░░░░░░░░░░░░░░░░░   04.72 %      .c              ▓░░░░░░░░░░░░░░░░░░░░░░░░   04.02 %


❤️ Deep Learning Framework:
Tensorflow-keras  ████████████████████░░░░░   82.00 %    PyTorch         ██▓░░░░░░░░░░░░░░░░░░░░░░   18.00 %

❤️ Operating Systems:
MacOS           █████████████░░░░░░░░░░░░   50.00 %      Ubuntu          ████████████░░░░░░░░░░░░░   48.00 %
Windows         ▓░░░░░░░░░░░░░░░░░░░░░░░░   02.00 %

❤️ Others:
HPC             █████████████████████████   100.0%       Git             █████████████████████████   100.0%

Published Repositories

Music Information Reterival
Interference Reduction In Multi-track Recordings

All Other Repositories

Music Information Reterival Audio Processing Deep Learning Image Processing Others
Audio Bleeding Removal Music Speech Separation Deep Learning Region Based Segmentation Mathematics
Wave-U-Net Programming Practicum Pattern Recognition Digital Image Processing C Basics
Neural Network NMF ASP for Music ID Gen
Tonic Identification LPC
Spectral Clustering Audio Segmentation
ICA Signal Processing



Pinned Loading

  1. Audio-Bleeding-Removal Audio-Bleeding-Removal Public

    Neural networks for removal of bleeding in music signals for the sequential application of Music Source Separation

    Jupyter Notebook 2

  2. IRMR IRMR Public

    Neural Networks for Interference Reduction in Multi-track Recordings. The Convolutional Autoencoders (CAEs) and the truncated-UNet (t-UNet).

    Python

  3. Deep-Learning Deep-Learning Public

    Implementations of the deep neural networks from the scratch such as perceptron, fully connected deep neural network (DNN), Autoecoders, CNN, RNN, LSTM etc.

    Jupyter Notebook 1 2

  4. Music-Speech-Separation Music-Speech-Separation Public

    The model learns to classify the given audio into music or speech and removes the music content.

    Jupyter Notebook

  5. Wave-U-Net Wave-U-Net Public

    Implementation of Wave-U-net for the Indian Carnatic Music (Saraga Dataset). The Saraga Dataset is evaluated and studied on wave-u-net on different aspects.

    Jupyter Notebook

  6. Region-Based-Segmentation Region-Based-Segmentation Public

    Image Segmentation Implementation based on Region Growing

    Python 1