a parallel hybrid system of hmm and gmm modeling techniques was implemented and used in a telephony speaker verification and identification system. spectral subtraction and weighted projection measure were used to render this system more robust against additional noise. cepstral mean subtraction method was also applied for the compensation of convolution noise due to transmission channel degrad...

In this paper, we propose a new approach to improve the performance of speech enhancement technique based on multi-band spectral subtraction for white Gaussian noise. First, the original power spectral subtraction and multiband spectral subtraction methods are surveyed and implemented. Next, the generalization is applied on multiband spectral subtraction. Finally, the flattened noise spectrum w...

The corruption of speech due to presence of additive background noise causes severe difficulties in various communications environments. This paper addresses the problem of reduction of additive background noise in speech. The proposed approach is a frequency dependent speech enhancement method based on the proven spectral subtraction method. Most implementations and variations of the basic spe...

In this paper we propose a new approach for speech enhancement. The method used to remove the noise components is a combination of two methods: Wavelet de-noising and spectral subtraction. The idea is to apply the spectral subtraction to wavelet approximations and details coefficients. A new parameter for spectral subtraction in unvoiced speech frames is introduced and the existing power factor...

A blind dereverberation method based on spectral subtraction using a multi-channel least mean squares algorithm was previously proposed. The results of a large vocabulary continuous speech recognition task showed that this method achieved significant improvements over the conventional method based on cepstral mean normalization and beamforming in a simulated reverberant environment without addi...

pectral subtraction is a method for restoration of the power spectrum or the magnitude spectrum of a signal observed in additive noise, through subtraction of an estimate of the average noise spectrum from the noisy signal spectrum. The noise spectrum is usually estimated, and updated, from the periods when the signal is absent and only the noise is present. The assumption is that the noise is ...

In this paper, we provide a new theoretical analysis of the amount of musical noise generated via Wiener filter based on higher-order statistics. Spectral subtraction and Wiener filter are the most commonly used noise reduction methods, and in our previous study a musical noise assessment theory limited to the spectral subtraction was proposed. Therefore, in this paper, we propose a new theoret...

An improved spectral subtraction algorithm for enhancing speech corrupted by additive wideband noise is described. The artifactual noise introduced by spectral subtraction that is perceived as musical noise is 7 dB less than that introduced by the classical spectral subtraction algorithm of Berouti et al. Speech is decomposed into voiced and unvoiced sections. Since voiced speech is primarily s...

The weakness of conventional spectral subtractive-type algorithm is identified and presented in Section 2. The proposed remedial approach is described in Section 3. In Section 4, we show the proposed method’s effectiveness over conventional methods with representative experiments using Aurora 2. Concluding remarks are provided in Section 5. This paper addresses a novel noise-compensation scheme...