Abstract
Intelligent music teaching is the direction of subsequent reforms in music teaching methods. In order to improve the intelligence of music teaching, this paper conducts research on speech recognition technology through optic communication. The speech conversion system based on Multi-Scale Star GAN extracts different levels of multi-scale features of the global features of music utterance through the Multi-Scale structure, which enhances the details of the converted speech, and uses residual connections to alleviate the problem of gradient disappearance and enable the network to spread more deeply through optic communication. In addition, after improving the speech recognition algorithm, this paper combines the needs of music teaching to construct a music teaching system based on speech recognition and artificial intelligence, and design system functional modules. Finally, this paper evaluates the performance of the system constructed in this paper by means of teaching experiments through optic communication. From the experimental analysis, it can be seen that the system constructed in this paper has a good teaching effect.
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