Binaural Modelling and Spatial Auditory Cue Analysis of 3D-Printed Ears
Autor: | Patrick Goh, Nur Syazreen Ahmad, Junita Mohamad-Saleh, Te Meng Ting |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
0209 industrial biotechnology
3d printed front-rear confusions Property (programming) Computer science Acoustics 3D-printed ears 02 engineering and technology lcsh:Chemical technology 01 natural sciences Biochemistry Article Analytical Chemistry Reduction (complexity) 020901 industrial engineering & automation 0103 physical sciences Humans lcsh:TP1-1185 Sound Localization Electrical and Electronic Engineering Sound pressure 010301 acoustics Instrumentation auditory cues Series (mathematics) Ear Atomic and Molecular Physics and Optics Acoustic Stimulation 3D localization Printing Three-Dimensional binaural modelling Cues Binaural recording Energy (signal processing) |
Zdroj: | Sensors Volume 21 Issue 1 Sensors (Basel, Switzerland) Sensors, Vol 21, Iss 227, p 227 (2021) |
ISSN: | 1424-8220 |
DOI: | 10.3390/s21010227 |
Popis: | In this work, a binaural model resembling the human auditory system was built using a pair of three-dimensional (3D)-printed ears to localize a sound source in both vertical and horizontal directions. An analysis on the proposed model was firstly conducted to study the correlations between the spatial auditory cues and the 3D polar coordinate of the source. Apart from the estimation techniques via interaural and spectral cues, the property from the combined direct and reverberant energy decay curve is also introduced as part of the localization strategy. The preliminary analysis reveals that the latter provides a much more accurate distance estimation when compared to approximations via sound pressure level approach, but is alone not sufficient to disambiguate the front-rear confusions. For vertical localization, it is also shown that the elevation angle can be robustly encoded through the spectral notches. By analysing the strengths and shortcomings of each estimation method, a new algorithm is formulated to localize the sound source which is also further improved by cross-correlating the interaural and spectral cues. The proposed technique has been validated via a series of experiments where the sound source was randomly placed at 30 different locations in an outdoor environment up to a distance of 19 m. Based on the experimental and numerical evaluations, the localization performance has been significantly improved with an average error of 0.5 m from the distance estimation and a considerable reduction of total ambiguous points to 3.3%. |
Databáze: | OpenAIRE |
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