Abstract
In order to evaluate the sound signal sensitivity of subjective auditory features, understand the process of human sound signal recognition, guide machine recognition of sound signal and noise reduction, this study constructed eight sound signals by changing waveform composition, frequency and amplitude of the sound signals. Twelve subjects were asked to evaluate the subjective auditory features of eight sound signals, such as loudness, sharpness, associativity, sweetness and pleasure, as well as the differences of each sound signal with others. It showed that the sound signals were different in sharpness, associativity, sweetness and pleasure, but only associativity could predict the difference of the sound signals, other subjective auditory features could not effectively distinguish of eight sound signals. However, a single subjective characteristic of the sound signals might not sufficiently discriminate them, two or more subjective perceptual features of sound signals might effectively classify them, with subjective sharpness and associativity being the most sensitive features to sound signals discrimination.
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References
Burns, T., Rajan, R.: A mathematical approach to correlating objective spectro-temporal features of non-linguistic sounds with their subjective perceptions in humans. Front. Neurosci. 13, 794 (2019)
Winkler, I., Tervaniemi, M., Huotilainen, M., et al.: From objective to subjective: pitch representation in the human auditory cortex. Neuroreport 6(17), 2317 (1995)
Perrott, D.: Judgments of sound volume: Effects of signal duration, level, and interaural characteristics on the perceived extensity of broadband noise. J. Acoust. Soc. Am. 72(5), 1413–7 (1982)
Ando Y.: Subjective preference of the sound field. In: Signal Processing in Auditory Neuroscience, pp. 67–79 (2019)
Wickelmaier, F., Ellermeier, W.: Deriving auditory features from triadic comparisons. Percept. Psychophys. 69(2), 287–297 (2007)
Borg, E.: Noise level, inner hair cell damage, audiometric features, and equal-energy hypothesis. J. Acoust. Soc. Am. 86(5), 1776 (1989)
Leek, M.R., Brown, M.E., Dorman, M.F.: Informational masking and auditory attention. Percept. Psychophys. 50(3), 205–214 (1991). https://doi.org/10.3758/BF03206743
Berglund, B., Hassmen, P., Preis, A.: Loudness and sharpness as determinants of noise similarity and preference. In: INTER-NOISE and NOISE-CON Congress and Conference Proceedings (1996)
Jankovic, D., Stevanov, J.: Similarities in affective processing and aesthetic preference of visual. Audit. Gustatory Stimuli. i-Percept. 2(8), 951–951 (2011)
Francesco, A., Östen, A., Jian, K.: dimensions underlying the perceived similarity of acoustic environments. Front. Psychol. 8(1162), 1162 (2017)
Creasey, P.D.: An exploration of sound timbre using perceptual and time-varying frequency spectrum techniques (1998)
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Liang, J. et al. (2021). Sound Signal Sensitivity of Subjective Auditory Features. In: Rau, PL.P. (eds) Cross-Cultural Design. Experience and Product Design Across Cultures. HCII 2021. Lecture Notes in Computer Science(), vol 12771. Springer, Cham. https://doi.org/10.1007/978-3-030-77074-7_9
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DOI: https://doi.org/10.1007/978-3-030-77074-7_9
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