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Method for generating realistic sound stimuli with given characteristics by controlled combination of audio recordings
1. A. T. Moorhouse, D. C. Waddington, and M. D. Adams, “ Proposed criteria for the assessment of low frequency noise disturbance,” DEFRA NANR45: Project report (Department for Environment, Food and Rural Affairs, London, 2005).
2. J. Vos and M. M. J. Houben, “ Enhanced awakening probability of repetitive impulse sounds,” J. Acoust. Soc. Am. 134(3), 2011–2025 (2013).
3. J. Y. Hong and J. Y. Jeon, “ Designing sound and visual components for enhancement of urban soundscapes,” J. Acoust. Soc. Am. 134(3), 2026–2036 (2013).
4. J. Kim, C. Lim, J. Hong, and S. Lee, “ Noise-induced annoyance from transportation noise: Short-term responses to a single noise source in a laboratory,” J. Acoust. Soc. Am. 127(2), 804–814 (2010).
5. M. Alayrac, C. Marquis-Favre, and S. Viollon, “ Total annoyance from an industrial noise source with a main spectral component combined with a background noise,” J. Acoust. Soc. Am. 130(1), 189–199 (2011).
6. L. A. Wolsey, Integer Programming ( Wiley, New York, 1998).
7. S. Boyd and L. Vandenberghe, Convex Optimization ( Cambridge University Press, Cambridge, 2004).
8.ISO 1996-1:2003: Acoustics—Description, Measurement and Assessment of Environmental Noise—Part 1: Basic Quantities and Assessment Procedures (International Organization for Standardization, Geneva, 2003).
9. H. Fastl and E. Zwicker, Psychoacoustics: Facts and Models ( Springer, Berlin, 2005).
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Audio recordings are often used to improve ecological validity of stimuli for laboratory research on effects of noise. In this paper a method is proposed for composing realistic environmental sound stimuli with (1) specified overall spectrum and (2) specified statistical distribution of sound event durations and semantic categories. The combination is addressed as a mixed integer linear programming problem. Objective measurements, for eight stimuli and a moderate-size database, validate the method. The mean error in octave bands exposure level is 2.6 dB and the statistical distribution of sound event durations and semantic categories is perfectly matched.
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