While the state-of-the-art speech enhancement methods are focused on the modification of the noisy spectral amplitude, our recent findings demonstrate positive impact of incorporating the speech phase spectrum in speech enhancement. In this show and tell proposal, we demonstrate the recent progress towards utilizing the phase information in closed-loop iterative manner leading to the joint enha...

In this paper, we propose a novel approach for single channel speech enhancement by exploiting the correlation among 2D transform coefficients, which has been previously neglected by traditional speech enhancement methods. Our approach makes use of a time-frequency representation (spectrogram) of the input signal and a novel 2D spectrogram filter (2DSF)is designed to provide a good estimate of ...

This paper presents the implementation of two nonlinear noise reduction methods applied to speech enhancement. The methods are based on embedding the noisy signal in a high-dimensional reconstructed phase space and applying singular value decomposition to project the signal into a lower dimension. The advantages of these nonlinear methods include that they do not require explicit models of nois...

For single-channel speech enhancement, most commonly, the noisy observation is described as the sum of the clean speech signal and the noise signal. For machine learning based enhancement schemes where speech and noise are modeled in the log-spectral domain, however, the log-spectrum of the noisy observation can be described as the maximum of the speech and noise log-spectrum to simplify statis...

This paper investigates the effect of Gaussian window frequency response Side lobe Attenuation on the improvement of Speech quality in terms of six objective quality measures. In Speech Enhancement process, signal corrupted by noise is segmented into frames and each segment is Windowed using Gaussian window with variation in the side lobe attenuation parameter “α”. The Windowed Speech segments ...

A novel technique is presented to design the signal subspace speech enhancement based on perceptual post filtering. Firstly, by subspace filter the noisy speech is enhanced. The underlying principle is to decompose the vector space of the noisy signal into a signal plus noise subspace and a noise subspace. The decomposition can theoretically be performed by applying the Karhunen-Loeve transform...

Hands-free operation of a mobile phone in car raises major challenges for acoustic enhancement algorithms and speech recognition engines. This is due to a degradation of the speech signal caused by reverberation effects and engine noise. In a typical mobile phone/carkit configuration only the car-kit microphone is used. A legitimate question is whether it is possible to improve the useful signa...

Hands-free operation of a mobile phone in car raises major challenges for acoustic enhancement algorithms and speech recognition engines. This is due to a degradation of the speech signal caused by reverberation effects and engine noise. In a typical mobile phone/carkit configuration only the car-kit microphone is used. A legitimate question is whether it is possible to improve the useful signa...