Title:  Refinements for Tone-to-Noise Ratio in an Annoyance Model for Tonal Office Noises

Speaker:  Guochenhao Song, Graduate Student, Herrick Acoustics Lab (w/ Profs. Patricia Davies and Yangfan Liu)

Date: September 10, 2020

Time: 10:30 – 11:20 am

Zoom Info:

Seminars in Hearing Research (SHRP)

Sep 10, 2020 10:30 AM America/Indiana/Indianapolis

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https://purdue-edu.zoom.us/j/92022163223?pwd=d2hqUTRUaHMzSnFJdVNaRGV0SHlQQT09

Meeting ID: 920 2216 3223

Passcode: 358552

Abstract:

To guide building design, a proper understanding of people’s annoyance to tonal office noises is needed. It is known that sound quality plays a role in annoyance perception. This paper develops and refines a metric model to predict perceived annoyance for office noises. The model was built based on subjects’ average annoyance ratings for 222 5-second sounds. Test sounds include tonal sounds with different broadband sounds, different level and frequency tones, and a group of harmonic sounds. Thirty subjects with a normal hearing participated in the test and were asked to rate the level of annoyance. Results show that loudness, tonality, and sharpness all turn out to play a role in annoyance perception. Tone-to-Noise Ratio is selected as the tonality metric for a better model performance. Refinements are introduced to Tone-to-Noise Ratio by integrating different tonal components’ contributions, adding hearing threshold to Tone-to-Noise Ratio, and limiting the metrics contributions to deal with the outliers in the model.

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https://purdue.edu/TPAN/hearing/shrp_schedule

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