Speech Enhancement Using DCT

Abstract

The speech enhancement problem comprises of various problems characterized by the type of noise source, the nature of interaction between speech and noise, the number of sensor signals (microphone outputs) available for enhancement and the nature of the speech application. Noise reduction remains a demanding problem due to wide variety of background noise types (car noise, babble noise, cockpit noise, train noise, subway noise, etc.) and the difficulty in estimating their statistics. The connection of noise an usually classified as additive/multiplicative/convolution. The additive model very often dominates in real-world applications. Keywords–Speech enhancement, Speech processing

3 Figures and Tables

Cite this paper

@inproceedings{Shekokar2013SpeechEU, title={Speech Enhancement Using DCT}, author={S . C . Shekokar}, year={2013} }