Speech enhancement based on a priori signal to noise estimation
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02
Prediction of speech intelligibility based on an auditory preprocessing model
Speech Communication
Evaluation of Objective Quality Measures for Speech Enhancement
IEEE Transactions on Audio, Speech, and Language Processing
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
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In this paper we propose a novel objective method for intelligibility prediction of enhanced speech which is based on the negative distortion ratio (NDR) - that is, the amount of power spectra that has been removed in comparison to the original clean speech signal, likely due to a bad noise estimate during the speech enhancement procedure. While negative spectral distortions can have a significant importance in subjective intelligibility assessment of processed speech, most of the objective measures in the literature do not well account for this type of distortion. The proposed method focuses on a very specific type of noise, so it is not intended to be used alone but in combination with other techniques, to jointly achieve a better intelligibility prediction. In order to find an appropriate technique to be combined with, in this paper we also review a number of recently proposed methods based on correlation and coherence measures. These methods have already shown a high correlation with human recognition scores, as they effectively detect the presence of nonlinearities, frequently found in noise-suppressed speech. However, when these techniques are jointly applied with the proposed method, significantly higher correlations (above r=0.9) are shown to be achieved.