Comparison of loudness models for time-varying sounds

被引:28
|
作者
Rennies, Jan [1 ]
Verhey, Jesko L. [1 ]
Fastl, Hugo [2 ]
机构
[1] Carl von Ossietzky Univ Oldenburg, Inst Phys, AG Neuroakust, D-26111 Oldenburg, Germany
[2] Tech Univ Munich, Lehrstuhl Mensch Maschine Kommunikat, AG Tech Akust, D-80333 Munich, Germany
关键词
SHORT NOISE BURSTS; CALCULATING LOUDNESS; TEMPORAL INTEGRATION; EXCITATION PATTERNS; CRITICAL BANDS; HEARING-LOSS; LEVEL; SUMMATION; FREQUENCY; TONES;
D O I
10.3813/AAA.918287
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
The loudness of a sound depends, among other parameters, on its temporal shape. Different loudness models were proposed to account for temporal aspects in loudness perception. To investigate different dynamic concepts for modeling loudness, predictions were made with the two current loudness models of Glasberg and Moore [J. Acoust. Soc. Am. 50, 331-341 (2002)] and Chalupper and Fastl [Acta Acustica united with Acustica 88, 378-386 (2002)] for a set of time-varying sounds. The predicted effects of duration, repetition rate, amplitude-modulation, temporal asymmetry, frequency modulation and the systematic variation of spectro-temporal structure on loudness were compared to data from the literature. Both models predicted the general trends of the data for single, repeated and asymmetric sound bursts and amplitude-modulated sounds. The model of Chalupper and Fastl seems to agree slightly better with loudness data for sounds with strong spectral variations over time, since it includes a dynamic stage which allows spectral loudness summation also for non-synchronous frequency components.
引用
收藏
页码:383 / 396
页数:14
相关论文
共 50 条
  • [41] INFERENCE OF TIME-VARYING REGRESSION MODELS
    Zhang, Ting
    Wu, Wei Biao
    ANNALS OF STATISTICS, 2012, 40 (03): : 1376 - 1402
  • [42] Time-varying models for extreme values
    Gabriel Huerta
    Bruno Sansó
    Environmental and Ecological Statistics, 2007, 14 : 285 - 299
  • [43] Simultaneous inference for time-varying models
    Karmakar, Sayar
    Richter, Stefan
    Wu, Wei Biao
    JOURNAL OF ECONOMETRICS, 2022, 227 (02) : 408 - 428
  • [44] Time-varying coefficient estimation in differential equation models with noisy time-varying covariates
    Hong, Zhaoping
    Lian, Heng
    JOURNAL OF MULTIVARIATE ANALYSIS, 2012, 103 (01) : 58 - 67
  • [45] Time-varying rational expectations models
    Neusser, Klaus
    JOURNAL OF ECONOMIC DYNAMICS & CONTROL, 2019, 107
  • [46] Identification of Time-Varying Factor Models
    Cheung, Ying Lun
    JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 2024, 42 (01) : 76 - 94
  • [47] Estimating Time-Varying Graphical Models
    Yang, Jilei
    Peng, Jie
    JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 2020, 29 (01) : 191 - 202
  • [48] Regression models for time-varying extremes
    Lima, Stenio Rodrigues
    do Nascimento, Fernando Ferraz
    da Silva Ferraz, Valmaria Rocha
    JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2018, 88 (02) : 235 - 249
  • [49] Time-varying models for extreme values
    Huerta, Gabriel
    Sanso, Bruno
    ENVIRONMENTAL AND ECOLOGICAL STATISTICS, 2007, 14 (03) : 285 - 299
  • [50] On the efficiency of time-varying channel models
    Rickard, Scott
    Drakakis, Konstantinos
    Tsakalozos, Nikolaos
    2006 40TH ANNUAL CONFERENCE ON INFORMATION SCIENCES AND SYSTEMS, VOLS 1-4, 2006, : 1360 - 1365