Speech enhancement from noise: a regenerative approach
Speech Communication
Chip design of MFCC extraction for speech recognition
Integration, the VLSI Journal
Speech Enhancement Using Perceptual Wavelet Packet Decomposition and Teager Energy Operator
Journal of VLSI Signal Processing Systems
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
Ubiquitous and Robust Text-Independent Speaker Recognition for Home Automation Digital Life
UIC '08 Proceedings of the 5th international conference on Ubiquitous Intelligence and Computing
Journal of Network and Computer Applications
Hi-index | 0.00 |
In this paper, a new subspace-based speech enhancement algorithm is presented. First, we construct a perceptual filterbank from psycho-acoustic model and incorporate it in the subspace-based enhancement approach. This filterbank is created through a five-level wavelet packet decomposition. The masking properties of the human auditory system are then derived based on the perceptual filterbank. Finally, the prior SNR and the masking threshold of each critical band are taken to decide the attenuation factor of the optimal linear estimator. Five different types of in-car noises in TAICAR database were used in our evaluation. The experimental results demonstrated that our approach outperformed conventional subspace and spectral subtraction methods.