Title :
On objective assessment of audio quality — A review
Author :
Jia Zheng ; Mengyao Zhu ; Yao Song
Author_Institution :
Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
Abstract :
Measurement of audio quality is of fundamental importance for numerous speech and audio processing applications, where the goal of quality assessment algorithms is to evaluate the quality in agreement with human´s subjective feelings of audio quality. This paper includes a brief summary of the development of intrusive and non-intrusive audio quality assessment algorithms and outlines recent advancements, especially some new topics to be investigated presently. Moreover, according to the existing problems in this field, discussion of the future trend and challenges is also given.
Keywords :
audio signal processing; audio processing; audio quality measurement; intrusive audio quality assessment algorithms; nonintrusive audio quality assessment algorithms; speech processing; Computational modeling; Distortion measurement; Hidden Markov models; Psychoacoustic models; Quality assessment; Speech; Speech processing;
Conference_Titel :
Audio, Language and Image Processing (ICALIP), 2012 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-0173-2
DOI :
10.1109/ICALIP.2012.6376719