Title :
An efficient loudness estimation algorithm for speech signal
Author :
Lu, Jing ; Wan, Wanggen ; Yu, Xiaoqing ; Zhang, Jing
Author_Institution :
Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
Abstract :
The meaning of sound quality assessment is summarized. Based on the analysis of some characteristics of human auditory system and the model of loudness perception, an efficient loudness estimation approximate algorithm is proposed using the regression analysis method. Experimental results show that the approximate algorithm has fine performance for speech signal. Additionally, different people´s speech signal loudness is also distinct. Based on this, other psychoacoustical parameters for objective speech quality assessment may be obtained.
Keywords :
loudness; regression analysis; speech synthesis; efficient loudness estimation algorithm; human auditory system; loudness estimation approximate algorithm; loudness perception; psychoacoustical parameters; regression analysis method; sound quality assessment; speech signal; Algorithm design and analysis; Computational modeling; Ear; Noise; Psychoacoustic models; Speech;
Conference_Titel :
Audio Language and Image Processing (ICALIP), 2010 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-5856-1
DOI :
10.1109/ICALIP.2010.5685021
