Academic Journal
Novel Vertical Localization Using Spectral Cues Analysis from Artificial Human Ears.
| Τίτλος: | Novel Vertical Localization Using Spectral Cues Analysis from Artificial Human Ears. |
|---|---|
| Συγγραφείς: | Sirisawat P; Hardware-Human Interface and Communications Laboratory (H2I-Comm Lab), Department of Computer Science, College of Computing, Khon Kaen University, Khon Kaen 40002, Thailand., Saiyod S; Hardware-Human Interface and Communications Laboratory (H2I-Comm Lab), Department of Computer Science, College of Computing, Khon Kaen University, Khon Kaen 40002, Thailand., Nonsakhoo W; Hardware-Human Interface and Communications Laboratory (H2I-Comm Lab), Department of Computer Science, College of Computing, Khon Kaen University, Khon Kaen 40002, Thailand. |
| Πηγή: | Sensors (Basel, Switzerland) [Sensors (Basel)] 2026 Aug 31; Vol. 26 (17). Date of Electronic Publication: 2026 Aug 31. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Basel, Switzerland : MDPI, c2000- |
| Ιατρικοί όροι (MeSH): | Sound Localization*/physiology , Ear*/physiology , Cues*, Humans ; Sound ; Signal Processing, Computer-Assisted |
| Περίληψη: | The ability to detect and localize the direction of the source of sounds has been with humans since ancient times, as humans can tell the direction of the sound coming from both the horizontal plane and vertical plane. Recent theory on why humans can distinguish the direction of the sound in the vertical plane is due to the difference between sounds reflected in human ears, more specifically, the pinna, which distort the sound in both the frequency domain and the time domain. In this paper, we will explore more on how to use the distortion in the time domain to localize the sound in the vertical plane. By analyzing the sound that is reflected in one of the artificial ears in the time domain, we use those data as a model to determine the sound coming from the vertical plane. The average angular error of the model is 4.86 degrees, with an RMSE of 6.90. The result confirms that we can analyze the sound in the time domain to determine the sound source direction in the vertical plane analyzed from only one microphone in the artificial ear. |
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| Contributed Indexing: | Keywords: acoustic signal processing; direction of arrival estimation; signal analysis; sound source localization; time-domain analysis; vertical plane localization |
| Entry Date(s): | Date Created: 20260915 Date Completed: 20260915 Latest Revision: 20260916 |
| Update Code: | 20260916 |
| PubMed Central ID: | PMC13568182 |
| DOI: | 10.3390/s26175526 |
| PMID: | 42740146 |
| Βάση Δεδομένων: | MEDLINE |
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