Abstract
Abstract Many small and interactive subsystems in music creation are produced continuously in development and evolution. This paper uses the nonlinear equation statistical method for audio classification, and its principle and implementation mechanism are perfect. This method has been widely used in many audio categories. On this basis, the application of the KLR algorithm in the audio classification system is further studied. Then, this mode is applied to the audio division of similar Musical Instruments. Finally, this paper will collect the violin and cello music signal simulation experiment. Then the nonlinear equation is compared with classical Logistic regression and SVM. The results show that this method has better advantages in classification and processing.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
