25-07-2012, 12:22 PM
WARPED DISCRETE COSINE TRANFORM FOR NOISY SPEECH ENHANCEMENT
wdct.ppt (Size: 247.5 KB / Downloads: 44)
Introduction
Speech is a form of communication in every day life. It existed since human civilizations began and even till now, speech is applied to high technological telecommunication systems.
As applications like cellular and satellite technology are getting popular among mankind, human beings tend to demand more advance technology and are in search of improved applications.
For this reason, quality of speech is must. So, speech enhancement is necessary
Speech enhancement technique
Wiener filtering technique
Kalman filtering technique
Soft decision estimation
Minimum mean square error(MMSE)
WDCT
Warped Discrete Cosine Transform (WDCT)
The discrete cosine transform (DCT) has been found to be better as compared to the DFT because DCT provides significantly higher energy compaction capability compared to the DFT.
To provide a higher resolution for the energy compacted region without increasing the DCT length, we devise a method to warp the input frequency, which adjusts the frequency distribution of the input speech to be more suitable for the DCT.
Conclusion
This is a good, efficient method for speech enhancement when the speech signal is effect in noisy environment.
This project shows that SignalToNoise (SNR) for wdct is more when compared to conventional dct.