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This paper proposes a robust front-end for speech applications based on restoration scheme of instantaneous amplitude and phase. Typical applications such as hearing aids and automatic speech recognition systems still have challenging issues with regard to robustness against noise and reverberation. The proposed front-end employed a combination of our previously proposed method for restoring instantaneous...
We have proved that restoring the instantaneous amplitude as well as instantaneous phase on Gammatone interbank plays a significant role for speech enhancement. However, it is still challenging topic with dereverberation since previously proposed scheme can only work in noisy environments. In this paper, we extend our previously proposed scheme to be general speech enhancement of removing the effects...
This paper proposes a restoration scheme for the instantaneous amplitudes and phases in sub-bands by using a Kalman filter with linear prediction (LP). A few important studies have already proved that phase spectrum on the short term Fourier transform plays an important role in speech enhancement. Thus, the proposed scheme concentrates on restoring of both the instantaneous amplitudes and phases simultaneously...
The tradeoff between noise reduction and speech distortion is a key concern in designing noise reduction algorithms. We have proposed a regularization framework for noise reduction with the consideration of the tradeoff problem. We regard speech estimation as a functional approximation problem in a reproducing kernel Hilbert space (RKHS). In the estimation, the objective function is formulated to...
Noise reduction is used to reduce the noise effect on speech, and is important for many real speech applications. However, noise reduction inevitably causes speech distortion. The trade-off between noise reduction and speech distortion is always a key concern in designing noise reduction algorithms. In this study, we took a new look at this problem, and regarded the speech estimation as a functional...
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