---
# System prepended metadata

title: Advantage and Disadvantage of Method
tags: [research, speech-separation]

---

---
title: 'Advantage and Disadvantage of Method'
disqus: hackmd
---

Speech Separation
===
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[TOC]

### Method
- Independent Component Analysis
    - Advantages: Simple and efficient
    - Disadvantages: 
        - Many assumptions are made, some not exist in real life scenario. 
        - Slow convergence lead to difficult in realtime application.
        - Cannot determine order and variances of independent components.
- Weiner Filtering
    - Noise Reduction technique in linear time invariant systems, using Wiener Filter aims at estimating a target signal in a noisy signal.
    - Advantages: 
        - Optimal result and effective method for noise reduction.
        - Reduce effect of reverberation
        - No pre-processing needed
    - Disadvantages:
        - Work on assumption of stationarity of source signals and the availability of their second order satistics. (target and noise signal mostly be non stationary)
        - perform poorly when there no clear way of distinguishing the signal from noise
- Principle Component Analysis
    - Advantages:
        - Reduces number of dimension
    - Disadvantages:
        - Removed correlations
        - Does not remove higher order dependence

## Common Method and Dataset
1. Dataset - Wall Street Journal (WSJ0) corpus
    https://arxiv.org/abs/1508.04306
2. Dataset - TIMIT
3. Dataset - CHiME
4. Evaluation - Source to Distortion Ratio (SDR)
    https://ieeexplore.ieee.org/document/1643671

###### tags: `research` `speech-separation`  