ABSTRACT

The objective of this project is to discuss a versatile speech enhancement method based on the human auditory model. In this project a speech enhancement scheme is being described which meets the demand for quality noise reduction algorithms which are capable of operating at a very low signal to noise ratio. We will be discussing how proposed speech enhancement system is capable of reducing noise with little speech degradation in diverse noise environments. In this model to reduce the residual noise and improve the intelligibility of speech a psychoacoustic model is incorporated into the generalized perceptual wavelet denoising method to reduce the residual noise. This is a generalized time frequency subtraction algorithm which advantageously exploits the wavelet multirate signal representation to preserve the critical transient information. Simultaneous masking and temporal masking of the human auditory system are modeled by the perceptual wavelet packet transform via the frequency and temporal localization of speech components. To calculate the bark spreading energy and temporal spreading energy the wavelet coefficients are used from which a time frequency masking threshold is deduced to adaptively adjust the subtraction parameters of the discussed method. To increase the intelligibility of speech an unvoiced speech enhancement algorithm also integrated into the system.