Szczegóły publikacji
Opis bibliograficzny
Application of ambisonic microphones and AI agents for automatic localization and classification of ambient sound sources / Paweł MAŁECKI // W: I3DA 2025 [Dokument elektroniczny] : Immersive and 3D Audio: from architecture to automotive : 10–12 September 2025, Bologna, Italy. — Wersja do Windows. — Dane tekstowe. — Piscataway : IEEE, cop. 2025. — Dod. ISBN: 979-8-3315-5829-1 (print on demand). — e-ISBN: 979-8-3315-5828-4. — S. [1–6]. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. [5–6], Abstr. — Publikacja dostępna online od: 2025-10-17
Autor
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 164005 |
|---|---|
| Data dodania do BaDAP | 2025-12-02 |
| Tekst źródłowy | URL |
| DOI | 10.1109/I3DA65421.2025.11202079 |
| Rok publikacji | 2025 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Institute of Electrical and Electronics Engineers (IEEE) |
Abstract
The article shows a novel integration of ambisonic microphones, multimodal sensing, and artificial intelligence (AI) to create an advanced system termed the “semantic acoustic microscope.” This innovative methodology combines third-order ambisonic microphone arrays, 360∘ video capture, LiDAR depth sensing, and AI-driven analysis for automatic localization and classification of ambient sound sources. Traditional noise assessment methods relying on averaged decibel metrics are inadequate for capturing the complex, dynamic, and semantic nature of urban acoustic environments. By leveraging modern AI models such as Transformer networks and large language models (LLMs), the proposed system aims to provide not just quantitative, but also qualitative, semantic interpretations of acoustic scenes, thereby offering meaningful insights into sound environments. Such insights have significant implications for urban planning, public health, environmental policy, and fundamental auditory research.
