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1. Berg, B. G. (1989). “ Analysis of weights in multiple observation tasks,” J. Acoust. Soc. Am. 86, 17431746.
2. Lutfi, R. A. , and Jesteadt, W. (2006). “ Molecular analysis of the effect of relative tone level on multitone pattern discrimination,” J. Acoust. Soc. Am. 120, 38533860.
3. Neuhoff, J. G. (1998). “ Perceptual bias for rising tones,” Nature 395, 123124.
4. Oberfeld, D. , and Plank, T. (2011). “ The temporal weighting of loudness: Effects of the level profile,” Attention Perception Psychophys. 73(1), 189208.
5. Oberfeld, D. , Heeren, W. , Rennies, J. , and Verhey, J. (2012). “ Spectro-temporal weighting of loudness,” PloS one 7(11), e50184.
6. Olsen, K. N. , Stevens, C. J. , and Tardieu, J. (2010). “ Loudness change in response to dynamic acoustic intensity,” J. Exp. Psychol. 36, 16311644.
7. Pastore, R. E. , and Flint, J. (2011). “ Magnitude judgments of loudness change for discrete, dynamic, and hybrid stimuli,” Attention Perception Psychophys. 73, 886907.
8. Pedersen, B. , and Ellermeier, W. (2008). “ Temporal weights in the level discrimination of time-varying sounds,” J. Acoust. Soc. Am. 123, 963972.
9. R Core Team (2013). R: A Language and Environment for Statistical Computing, (R Foundation for Statistical Computing, Vienna, Austria).
10. Rabinowitz, W. M. , Lim, J. S. , Braida, L. D. , and Durlach, N. I. (1976). “ Intensity perception. VI. Summary of recent data on deviations from Weber's law for 1000 Hz tone pulses,” J. Acoust. Soc. Am. 59, 15061509.
11. Susini, P. , McAdams, S. , and Smith, B. (2002). “ Global and continuous loudness estimation of time-varying levels,” Acta Acust. Acust. 88, 536548.
12. Susini, P. , McAdams, S. , and Smith, B. (2007). “ Loudness asymmetries for tones with increasing and decreasing levels using continuous and global ratings,” Acta Acust. Acust. 93, 623631.
13. Susini, P. , Meunier, S. , Trapeau, R. , and Chatron, J. (2010). “ End level bias on direct loudness ratings of increasing sounds,” J. Acoust. Soc. Am. 128, 163168.
14. Turner, M. D. , and Berg, B. G. (2007). “ Temporal limits of level dominance in a sample discrimination task,” J. Acoust. Soc. Am. 121, 18481851.

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Using molecular psychophysics, temporal loudness weights were measured for 2-s, 1-kHz tones with flat, increasing and decreasing time-intensity profiles. While primacy and recency effects were observed for flat profile stimuli, the so-called “level dominance” effect was observed for both increasing and decreasing profile stimuli, fully determining their temporal weights. The weighs obtained for these profiles were basically zero for all but the most intense parts of these sounds. This supports the view that the “level dominance” effect is prominent with intensity-varying sounds and that it persists over time since temporal weights are not affected by the direction of intensity change.


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