Influence of Binaural Processing on Objective Perceptual Quality Assessment

被引:0
|
作者
Delgado, Pablo M. [1 ]
Fleischmann, Felix [2 ]
Herre, Juergen [1 ,2 ]
机构
[1] Int Audio Labs Erlangen, Wolfsmantel 33, D-91058 Erlangen, Germany
[2] Fraunhofer IIS, Erlangen, Germany
关键词
AUDIO; STANDARD;
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Objective spatial audio quality measurement systems attempt to predict the perceived quality degradation reported in subjective tests by comparing an original reference and a processed version of the same signal. In this context, binaural processing can be used in conjunction with a perceptual model for improved prediction performance. This paper investigates how variations in the binaural processor - namely head rotations, added reverberation and simulated room properties - impact the prediction performance of a standardized objective audio (Perceptual Evaluation of Audio Quality - PEAQ) quality measurement scheme that has been extended to include spatial aspects.
引用
收藏
页数:10
相关论文
共 50 条
  • [31] Evaluation of Binaural Renderers: Multidimensional Sound Quality Assessment
    Reardon, Gregory
    Genovese, Andrea
    Zalles, Gabriel
    Flanagan, Patrick
    Roginska, Agnieszka
    2018 AES INTERNATIONAL CONFERENCE ON AUDIO FOR VIRTUAL AND AUGMENTED REALITY, 2018,
  • [32] Perceptual and physiological characteristics of binaural sluggishness
    Siveke, Ida
    Ewert, Stephan D.
    Wiegrebe, Lutz
    HEARING - FROM SENSORY PROCESSING TO PERCEPTION, 2007, : 467 - +
  • [33] Perceptual video quality assessment in H.264 video coding standard using objective modeling
    Karthikeyan, Ramasamy
    Sainarayanan, Gopalakrishnan
    Deepa, Subramaniam Nachimuthu
    SPRINGERPLUS, 2014, 3 : 1 - 6
  • [34] Perceptual Quality Assessment of Cartoon Images
    Chen, Hangwei
    Chai, Xiongli
    Shao, Feng
    Wang, Xuejin
    Jiang, Qiuping
    Meng, Xiangchao
    Ho, Yo-Sung
    IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 25 : 140 - 153
  • [35] Perceptual quality assessment of nighttime video
    Da, Pan
    Song, GuiYing
    Shi, Ping
    Zhang, HaoCheng
    DISPLAYS, 2021, 70 (70)
  • [36] Perceptual image quality assessment: a survey
    Zhai Guangtao
    Min Xiongkuo
    SCIENCE CHINA-INFORMATION SCIENCES, 2020, 63 (11)
  • [37] Perceptual Quality Assessment of Omnidirectional Images
    Fang, Yuming
    Huang, Liping
    Yan, Jiebin
    Liu, Xuelin
    Liu, Yang
    THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / THE TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2022, : 580 - 588
  • [38] A measure for perceptual image quality assessment
    de Freitas Zampolo, R
    Seara, R
    2003 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL 1, PROCEEDINGS, 2003, : 433 - 436
  • [39] Deep perceptual similarity and Quality Assessment
    2023 6TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION AND IMAGE ANALYSIS, IPRIA, 2023,
  • [40] Perceptual image quality assessment: a survey
    Guangtao Zhai
    Xiongkuo Min
    Science China Information Sciences, 2020, 63