聲音科技於智慧交通之應用與展望－從服務聽損人士為開端

聲音與生活緊密相連，人類發出聲音，用以傳遞訊息，也從聲音取得訊息；另一方面，高分貝聲音，特別是交通運具之運作聲，易損傷聽力、威脅健康。世界衛生組織（WHO）估計2018年世界有四億六千四百萬的聽損人口，面對眾多且人數快速成長的聽損族群，智慧交通應整合聲音資料，應用其科技提供多元化通知系統，改善聽損人士接收不到交通服務通知聲、警示聲訊息的困擾，同時也降低交通噪音對環境之衝擊。本文以聲音科技為始，說明聲音偵測、定位與辨識的原理與運作，再以智慧運輸系統（IMS）九大應用服務架構，探討聲音科技如何應用於各項服務。進一步探討聲音科技服務聽損者之應用，並從認識聽損族群、接收交通訊息之現況，提出進行中之可行方案：「幫你聽聽」聲音偵測與通知之手機應用程式，與未來發展願景，應用聲音科技於智慧交通。

關鍵字

智慧交通；機器學習；聲音偵測；聲音辨識；聲音定位；聽障；聽損；手機應用程式

並列摘要

Sounds are intricately connected with our life. Human not only emits sounds but also transmits and obtains relevant information from sounds. However, high-decibel sounds, especially the sounds of transportation modes, can easily damage hearing and threaten health.The World Health Organization (WHO) estimates that there were 464 million hearing-impaired people in the world in 2018. Response to a huge and rapidly growing hearing-impaired population, smart transportation should integrate environmental sounds and apply sound technology to provide a diversified notification system to improve the difficulties that hearing-impaired people not receiving traffic service notification sounds and warning sounds adequately and reduce the impacts of traffic noise on the environment.This article introduces sound technology to explain its principles and operations in detection, positioning, and recognition, and then addresses how sound technology could be applied to smart transportation. The analysis is based on the nine main service architectures of the Intelligent Transportation System (IMS). We discuss the applications of sound technology into hearing-impaired by deeper understanding of its population profile and site survey about sound and text notifications at Taipei MRT station. We introduce a ＂Bunny Hear＂ APP to detect and recognition environmental sounds for hearing-impaired and propose a vision of sound technology in smart transportation.

並列關鍵字

smart transportation ； machine learning ； sound detection ； sound recognition ； sound positioning ； deaf ； hearing loss ； app

參考文獻

Berglund, B., Lindvall, T., and Schwela, D.H., “Guide line for Community Noise” https://www.who.int/docstore/peh/noise/Comnoise-1.pdf extract date 20210428