A composite objective measure on subjective evaluation of speech enhancement algorithms

Publication Type:
Journal Article
Citation:
Applied Acoustics, 2019, 145 pp. 144 - 148
Issue Date:
2019-02-01
Metrics:
Full metadata record
© 2018 Elsevier Ltd Speech enhancement algorithms is to improve speech quality, naturalness and intelligibility by eliminating the background noise and improving signal to noise ratio. There are several objective measures predicting the quality of noisy speech enhanced by noise suppression algorithms, and different objective measures capture different characteristics of the degraded signal. In this paper, the multiple linear regression analysis is used to obtain a composite measure which has high correlation with subjective tests, and the performance of several speech enhancement algorithms under car noise conditions is compared. The uncertainty of the results of the proposed measures on different speech enhancement algorithms is analyzed, and the reliability of the results is discussed.
Please use this identifier to cite or link to this item: