Noise Reduction in Speech Processing
Noise is everywhere and in most applications that are related to audio and speech, such as human-machine interfaces, hands-free communications, voice over IP (VoIP), hearing aids, teleconferencing/telepresence/telecollaboration systems, and so many others, the signal of interest (usually speech) tha...
Main Authors: | , , , |
---|---|
Corporate Author: | |
Format: | Electronic |
Language: | English |
Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2009.
|
Series: | Springer Topics in Signal Processing,
2 |
Subjects: | |
Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-00296-0 |
Table of Contents:
- Introduction
- Problem Formulation
- Performance Measures
- Mean-Squared Error Criterion
- Pearson Correlation Coefficient
- Fundamental Properties
- Optimal Filters in the Time Domain
- Optimal Filters in the Frequency Domain
- Optimal Filters in the KLE Domain
- Optimal Filters in the Transform Domain
- Spectral Enhancement Methods
- A Practical Example: Multichannel Noise Reduction for Voice Communication in Spacesuits.