Noise reduction technology for extracting important features from sensor data filled with noise.
Information and Communication Technology (Saitama University Research Seed Collection 2025-27 p.80)
Keywords: Noise removal, denoising, audio processing, image processing, signal processing, feature analysis, signal modeling.
Recently, excellent AI technologies have emerged in areas such as voice recognition, image recognition, and data processing. On the other hand, when these technologies are actually applied in the field, it is often felt that their performance is not as high as expected. This is due to a discrepancy between the data used to train the AI model and the actual data. The causes of this discrepancy arise from differences in sensor characteristics, such as microphones and cameras, as well as differences in sensing environments, meaning variations in types of noise, among other factors. In my research, I am developing data analysis and noise reduction techniques to minimize such discrepancies and maximize the performance of AI models. Additionally, through collaboration with various companies and institutions, I have accumulated know-how regarding sensor placement and environmental setup to minimize the intrusion of noise and unnecessary data. As a "jack of all trades" in signal processing, I solve problems related to various signals, including audio and images, from multiple angles, so please feel free to reach out.
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basic information
Yosuke Sugiura, Assistant Professor Graduate School of Science and Technology, Department of Mathematical and Electronic Information, Information Area 【Recent Research Themes】 ● Environmental adaptation of speech enhancement systems using small-scale datasets ● Acoustic event detection in ultra-high noise environments ● Development of fast and lightweight noise-canceling technology ● Development of real-time video and image denoising technology
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【Appeal Points to the Industry】 ● Possession of world-class noise reduction and signal analysis technology ● Provision of appropriate data collection know-how tailored to the environment ● Utilization of AI with small-scale datasets for on-site applications ● Conducting joint research with numerous companies and organizations 【Examples of Practical Applications, Use Cases, and Utilization】 ● Provision of a voice noise reduction toolbox ● Implementation of voice recognition and event detection systems in ultra-high noise environments ● Provision of low-computation noise-canceling technology ● Noise reduction and segmentation for videos and images ● Noise reduction and behavior monitoring for biosensor data
Detailed information
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Designing an optimal sensor array for the environment and producing a prototype with a 3D printer.
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The Saitama University Open Innovation Center is a center that functions as a liaison office for industry-academia-government collaboration. It consists of three departments: the Industry-Academia-Government Collaboration Department, the Intellectual Property Department, and the Startup Support Department, each staffed with coordinators well-versed in various fields. The center's activities include solving technical challenges in companies, supporting the implementation of joint research, and conducting technology transfer aimed at introducing and utilizing Saitama University's intellectual property.