Multimedia Pop Music Teaching Model Integrating Semifinished Teaching Strategies
Author(s) -
Kangtan Dong
Publication year - 2022
Publication title -
advances in multimedia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.278
H-Index - 17
eISSN - 1687-5699
pISSN - 1687-5680
DOI - 10.1155/2022/6200077
Subject(s) - computer science , construct (python library) , multimedia , frame (networking) , perspective (graphical) , product (mathematics) , speech recognition , human–computer interaction , artificial intelligence , telecommunications , computer network , geometry , mathematics
In order to improve the effect of popular music teaching, this paper combines the intelligent music frame feature recognition technology and the semifinished product teaching strategy to construct a multimedia popular music teaching system. Moreover, this paper reexpresses energy detection and zero-crossing detection mathematically from the perspective of aggregation and proposes a new two-level detection method for music frames. In addition, this paper uses the fusion and expansion of the zero-crossing rate detection result to judge whether a piece of speech is a valid musical speech. Finally, this paper uses a four-tier architecture to design the system framework, constructs the system functional modules, builds a multimedia pop music teaching system that incorporates semifinished teaching strategies, and then validates the performance of the system. From the experimental research, it can be seen that the multimedia pop music teaching system integrated with the semifinished product teaching strategy proposed in this paper can play an important role in music teaching and effectively improve the effect of music teaching.
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