Recently, deep neural networks (DNNs) have become the mainstream strategy for speech
enhancement task because it can achieve the higher speech quality and intelligibility than …

In order to achieve remote voice acquisition, a 9.75-GHz microwave Doppler radar with a
high-sensitivity coherent homodyne demodulator is used to detect voice signals. However …

In this paper, we propose a novel speech enhancement method by using power spectra
smooth of the speech and noise in Wiener filtering based on the fact that a priori SNR in …

This paper presents a novel technique for estimating autoregressive (AR) parameters of
speech and noise in the codebook-driven Wiener filtering speech enhancement method. We …

A common assumption in many speech and acoustic processing methods is that the noise is
white and Gaussian (WGN). Although making this assumption results in simple and …

In this paper, an improved dictionary learning method for speech enhancement is proposed.
Given prior information of the noise, the dictionaries of speech and noise are firstly trained …

This paper presents a codebook-based speech enhancement algorithm by using Markov
process and speech-presence probability (SPP). The Markov process is utilized to model the …

In this paper, we present a novel codebook-driven speech enhancement method, which
applies speech harmonic structure. Our algorithm is able to remove more residual noise in …

Monaural speech enhancement is a key yet challenging problem in speech area, which is
always used as a pre-processing step of robust speech processing. Deep learning has …

In this paper, we propose a speech enhancement approach integrating codebook and
Wiener filtering. Codebook-based method could reserve speech spectrum well, but leaves a …