Enhancing Audio Signal Quality and Learning Experience with Integrated Covariance Weiner Filtering in College Music Education

• Published in: International Journal on Recent and Innovation Trends in Computing and Communication
• Main Author: Yang M.
• Format: Article
• Language: English
• Published: Auricle Global Society of Education and Research 2023
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174327868&doi=10.17762%2fijritcc.v11i6.7732&partnerID=40&md5=a125ec9c92f90429db5acd846faa0012

In recent years, computer music technology has become increasingly prevalent in college music education, offering new possibilities for creative expression and pedagogical approaches. This paper concentrated on the music education in the colleges with the application of integrated time and frequency filtering (ITFF) with Kalman integrated covariance Weiner filtering in college music education. The ITFF technique combines time and frequency domain analysis to enhance the quality and clarity of audio signals. By integrating the Kalman integrated covariance Weiner filtering, the ITFF method provides robust noise reduction and improved signal representation. This integrated approach enables music educators to effectively analyze and manipulate audio signals in real-time, fostering a more immersive and engaging learning environment for students. The findings of this study highlight the benefits and potential applications of ITFF with Kalman-integrated covariance Weiner filtering in college music education, including audio signal enhancement, sound synthesis, and interactive performance systems. The integration of computer music technology with advanced filtering techniques presents new opportunities for exploring sound, composition, and music production within an educational context. © 2023 Auricle Global Society of Education and Research.