IEEE Volunteer Research Showcase 2024: Phase 5 – IEEE Volunteer Research Showcase and Membership Development Program 2024
IEEE Kharagpur Section Office, Nalanda, Kharagpur, West Bengal, India, 721302IEEE SPS SBC Webinar:An IoT-Based Adaptive Sound Intervention System (By Dr. Gan Woon Seng)
Virtual: https://events.vtools.ieee.org/m/428870Week of Events
Summer internship 2024
Summer internship 2024 SMST, IIT Kharagpur, Kharagpur, West Bengal, India, 721302, Virtual: https://events.vtools.ieee.org/m/421935
IEEE Volunteer Research Showcase 2024: Phase 5 – IEEE Volunteer Research Showcase and Membership Development Program 2024
- Overleaf Training - Membership Development - Training of existing volunteers on tools like vTools, IEEE Xplore, for becoming the future leaders of the various OUs under IEEE. Co-sponsored by: IEEE University Program Grant of IEEE SB IIT Kharagpur, IEEE AP-MTTS SBC IIT Kharagpur, IEEE WiE AG Kharagpur Section (R10), Membership Development And Leadership Training (MDLT) Fund (R10) IEEE Kharagpur Section Office, Nalanda, Kharagpur, West Bengal, India, 721302
IEEE SPS SBC Webinar:An IoT-Based Adaptive Sound Intervention System (By Dr. Gan Woon Seng)
IEEE SPS SBC Webinar:An IoT-Based Adaptive Sound Intervention System (By Dr. Gan Woon Seng)
In this study conducted in Singapore, we aimed to enhance the urban soundscape by creating a soundscape intervention device. With the complex nature of the urban soundscape, it was crucial for the device to have the ability to sense the surrounding sound, select the most appropriate natural sound masker to mask negative noise (such as traffic noise), and adjust dynamically to changes in the acoustic environment.To achieve this, we utilized the power of cloud computing and the Internet of Things (IoT) to provide real-time listening and playback of the augmented sound via an array of ambisonics loudspeakers. The device features an innovative AI-based model to choose the optimal sound masker and determine its gain level, taking the burden offhuman supervision.We also created the Affective Responses to Urban Soundscapes (ARAUS) dataset to serve as a benchmark for evaluating models that predict and analyze soundscape perception. The working prototype of the system was first tested in a gazebo located in a university garden near a busy road, and several more units are being installed in residential areas to study the human response to the improved soundscape. By combining technology and nature, we hope to create a more pleasant and harmonious urban soundscape for all. Speaker(s): Dr. Gan Woon Seng, Virtual: https://events.vtools.ieee.org/m/428870