Thesis Repo

This project is just a repository to store changes made to my dissertation in the ENES UNAM Morelia, Mexico.

Document Structure

• Title Page

• Table of Contents

• Acknowledgements

• Abstract

• Preface

• Chapter 0 (Introduction)

  • The Cocktail Party Problem
  • Historic Background
  • Segmentation vs Attention Problem
  • Inverse Problems
  • Ill-Posed Problems
  • Constraints
  • Structure of Document

    Part 1 (Literature Review)

• Chapter 1 (Data Processing)

  • Feature Extraction
  • Spectrograms
  • Mel-Bin
  • Normalization

• Chapter 2 (The Generation Problem)

  • Time Series
  • Wave-net
  • Phase Loss
  • Phase Storage
  • Griffin-lin
  • Vocoders
  • Masking Techniques

• Chapter 3 (Looking to Listen)

• Chapter 4 (Music-Speech)

  Part 2 (Methodology)

• Chapter 5 (Libraries)

  • Librosa
  • PyTorch
  • TorchAudio

• Chapter 6 (Implementation)

  • Dataset
  • Model Structure
  • Preprocessing
  • Targets (Tested)

Part 3

• Chapter 7 (Results)
  • Results
  • Quantified Losses
  • Quality Tests
  • Samples (images and audios)
  • Transfer Learning
  • Quantified Losses
  • Quality Tests
  • Samples (images and audios)
  • Transfer Learning with fine tuning
  • Quantified Losses
  • Quality Tests
  • Samples (images and audios)
• Chapter 8 (Discussion)
  • Future Work

Appendix

• Time Series

  • Signal Processing
  • Audio/Speech Properties

• Transforms

  • Fourier Transform
  • Spectrums
  • Discrete Fourier Transform
  • Short-Time Fourier Transform
  • Wavelet
  • Scaleograph

• Spectrograms

  • Linear and Log
  • Amplitude vs Decibels
  • Mel-Bins
  • The Phase Problem
  • Linear
  • Decibel
  • Mel-Bin
  • Phase Retrieval Techniques
  • Phase Storage
  • Griffin-lin Algorithm
  • Vocoders

• Machine Learning

  • Supervised Learning vs Unsupervised Learning
  • Advancements
  • Problems
  • Data
  • Interpretability
  • Overfitting
  • Hyper-parameters
  • Computation

• Deep Learning

  • Neural Networks
  • Structure
    • Inputs
    • Weights
    • Bias
  • Back-propagation Algorithm
    • Forward Propagation
    • Gradients
  • Image processing
  • Convolutional Neural Networks
  • Attention
  • Segmentation
  • Medicine
  • U-Net

• Source Code

  • Running Instructions