This paper introduces a new speech enhancement method using soft thresholding with a Discrete Cosine Transform (DCT) and Empirical Mode Decomposition (EMD) based hybrid algorithm. Soft thresholding for DCT-enhancement is a powerful method for enhancing the noisy speech signal in a wide range of signal-to-noise ratios (S Rs). However, due to the thresholding criteria a significant amount of nois...

We address issues for improving hands-free speech enhancement and speech recognition performance in different car environments using a single distant microphone. This paper describes a new singlechannel in-car speech enhancement method that estimates the log spectra of speech at a close-talking microphone based on the nonlinear regression of the log spectra of noisy signal captured by a distant...

Speech enhancement is a long standing problem with numerous applications ranging from hearing aids, to coding and automatic recognition of speech signals. In this survey paper we focus on enhancement from a single microphone, and assume that the noise is additive and statistically independent of the signal. We present the principles that guide researchers working in this area, and provide a det...

We address the learning of noise bases in a monaural speaker-independent speech enhancement framework based on non-negative matrix factorization. Bases are estimated from training data in batch processing by means of hierarchical and non-hierarchical sparse coding, or determined during the speech enhancement process based on the divergence of the observed noisy speech signal and the speech base...

applications. Speech is a fundamental means of human communication. After over thirty years of research throughout the world, no perfect solution exists to this problem. The objective of our work is to implement a novel speech enhancement algorithm, which offers superior noise reduction over current methods. All speech enhancement systems suffer from distortion or residual noise due to imperfec...

While there have been numerous studies in the field of speech enhancement, the majority of these studies have focused on noise reduction for normal-hearing (NH) individuals. In addition, no speech enhancement algorithms reported in the signal processing community have reported an improvement in intelligibility, with the exception of a recent study by Tsoukalas et al. [IEEE Transactions of Speec...

This paper describes a speech enhancement system using a novel combination of a Fast Wavelet Transform structure, together with “Wiener filtering” in the wavelet domain. The specific application of interest is the enhancement of speech when a cellular phone is used within a moving vehicle. Subjective tests carried out using speech with additive vehicle noise at a signal-to-noise ratio of 10 dB ...

Speech is being a fundamental way of communication among human beings. In many unavoidable situations, unwanted background noises are added to the speech signal. The proposed speech enhancement technique is to remove the background noise and to improve the quality of the speech signal. Noisy signal are decomposed by wavelet decomposition technique. Super soft thresholding technique is applied t...

In this paper the signal subspace approach for nonpara-metric speech enhancement is considered. Several algorithms have been proposed in the litterature but only partly analyzed. Here, the diierent algorithms are compared , and the emphasis is put onto the limiting factors and practical behavior of the estimators. Experimental results show that the signal subspace approach may lead to a signiic...

This paper considers a single channel speech enhancement algorithm, which is based on our previous work on βorder minimum mean square error (MMSE) spectral estimation. We propose to make β a function of both local and frame signal-to-noise ratios (SNRs) in order to achieve more effective preservation of weak speech components. Moreover, by taking into account the speech-presence uncertainty in ...