Design and Research of a Sound-to-RGB Smart Acoustic Device

IF 2.4 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Z. Zlatev, J. Ilieva, D. Orozova, G. Shivacheva, Nadezhda Angelova
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引用次数: 0

Abstract

This paper presents a device that converts sound wave frequencies into colors to assist people with hearing problems in solving accessibility and communication problems in the hearing-impaired community. The device uses a precise mathematical apparatus and carefully selected hardware to achieve accurate conversion of sound to color, supported by specialized automatic processing software suitable for standardization. Experimental evaluation shows excellent performance for frequencies below 1000 Hz, although limitations are encountered at higher frequencies, requiring further investigation into advanced noise filtering and hardware optimization. The device shows promise for various applications, including education, art, and therapy. The study acknowledges its limitations and suggests future research to generalize the models for converting sound frequencies to color and improving usability for a broader range of hearing impairments. Feedback from the hearing-impaired community will play a critical role in further developing the device for practical use. Overall, this innovative device for converting sound to color represents a significant step toward improving accessibility and communication for people with hearing challenges. Continued research offers the potential to overcome challenges and extend the benefits of the device to a variety of areas, ultimately improving the quality of life for people with hearing impairments.
一种声转RGB智能声学器件的设计与研究
本文介绍了一种将声波频率转换为颜色的设备,以帮助有听力问题的人解决听障社区的无障碍和沟通问题。该设备使用精确的数学仪器和精心选择的硬件,在适合标准化的专业自动处理软件的支持下,实现声音到颜色的精确转换。实验评估显示,在1000Hz以下的频率下具有优异的性能,尽管在更高的频率下会遇到限制,需要对高级噪声滤波和硬件优化进行进一步研究。该设备有望用于各种应用,包括教育、艺术和治疗。该研究承认其局限性,并建议未来的研究推广将声音频率转换为颜色的模型,并提高更广泛听力损伤的可用性。来自听障社区的反馈将在进一步开发实用设备方面发挥关键作用。总的来说,这种将声音转换为颜色的创新设备代表着朝着改善听力障碍者的可及性和沟通迈出了重要一步。持续的研究提供了克服挑战的潜力,并将该设备的优势扩展到各个领域,最终提高听力障碍患者的生活质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Multimodal Technologies and Interaction
Multimodal Technologies and Interaction Computer Science-Computer Science Applications
CiteScore
4.90
自引率
8.00%
发文量
94
审稿时长
4 weeks
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