In modern urban environments, the concerning issue of noise pollution poses a significant threat to inhabitants’ health and quality of life. Thus, innovative approaches to mitigate noise pollution become increasingly critical as urbanization continues to expand. In this thesis, after a digression on soundscapes’ characteristics, it has been analyzed the urban environment through the lens of humans’ acoustic perception, focusing on the improving of urban spaces for the comfort of users. Specifically, it proposes the development of an architectural device designed to repurposing of noise pollution in urban settings. This tool aims to transform key urban areas into more harmonious and livable spaces by integrating principles of sound perception with architectural procedures and musical instruments’ craftsmanship techniques. The objective is to carefully curate the soundscape and promote tranquility and well-being, encouraging the use and enjoyment of historically and strategically significant urban locations currently hindered by acoustic disturbances. In particular, it will be explored how to integrate artificial intelligence into urban devices to classify and rearrange the spectrum of urban noises, effectively “recycling” sounds to create a better auditory environment.
Nei contesti urbani contemporanei, l’allarmante problema dell’inquinamento acustico rappresenta una minaccia significativa per la salute e la qualità della vita degli abitanti. Pertanto, approcci innovativi per mitigare l’inquinamento acustico diventano sempre più necessari, visto anche il fenomeno di urbanizzazione in continua espansione. In questa tesi, dopo una digressione sulle caratteristiche del paesaggio sonoro, è stato analizzato l’ambiente urbano attraverso la lente della percezione acustica, concentrandosi sul miglioramento degli spazi urbani per il comfort degli utenti. Nello specifico, si propone lo sviluppo di un dispositivo architettonico progettato per riutilizzare l’inquinamento acustico negli ambienti urbani. Questo strumento mira a trasformare aree urbane strategiche in spazi più armoniosi e vivibili, integrando procedure di percezione del suono con principi architettonici e tecniche di produzione degli strumenti musicali. L’obiettivo è quello di curare attentamente il paesaggio sonoro e promuovere tranquillità e benessere, incoraggiando la fruizione di luoghi urbani storicamente e strategicamente significativi, attualmente ostacolati da disturbi acustici. In particolare, verranno esplorate le modalità di integrazione dell’intelligenza artificiale nei dispositivi urbani per classificare e riorganizzare lo spettro del rumore urbano, “riciclando” efficacemente il rumore per migliorare l’ambiente uditivo.
Re-play: an architectural device for urban sounds processing
Colombo, Giulia
2023/2024
Abstract
In modern urban environments, the concerning issue of noise pollution poses a significant threat to inhabitants’ health and quality of life. Thus, innovative approaches to mitigate noise pollution become increasingly critical as urbanization continues to expand. In this thesis, after a digression on soundscapes’ characteristics, it has been analyzed the urban environment through the lens of humans’ acoustic perception, focusing on the improving of urban spaces for the comfort of users. Specifically, it proposes the development of an architectural device designed to repurposing of noise pollution in urban settings. This tool aims to transform key urban areas into more harmonious and livable spaces by integrating principles of sound perception with architectural procedures and musical instruments’ craftsmanship techniques. The objective is to carefully curate the soundscape and promote tranquility and well-being, encouraging the use and enjoyment of historically and strategically significant urban locations currently hindered by acoustic disturbances. In particular, it will be explored how to integrate artificial intelligence into urban devices to classify and rearrange the spectrum of urban noises, effectively “recycling” sounds to create a better auditory environment.File | Dimensione | Formato | |
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Giulia Colombo - Tesi.pdf
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https://hdl.handle.net/10589/230146