Time-Varying Noise Estimation for Speech Enhancement and Recognition Using Sequential Monte Carlo Method

Time-Varying Noise Estimation for Speech Enhancement and Recognition Using Sequential Monte Carlo Method

<p/> <p>We present a method for sequentially estimating time-varying noise parameters. Noise parameters are sequences of time-varying mean vectors representing the noise power in the log-spectral domain. The proposed sequential Monte Carlo method generates a set of particles in complianc...

Full description

Bibliographic Details
Main Authors: Yao Kaisheng, Lee Te-Won
Format: Article
Language:English
Published: SpringerOpen 2004-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
sequential Monte Carlo method
speech enhancement
speech recognition
Kalman filter
robust speech recognition
Online Access:http://dx.doi.org/10.1155/S1110865704405022

Internet

http://dx.doi.org/10.1155/S1110865704405022

Similar Items