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. The speech conversion system based on Multiscale Star GAN extracts different levels of multiscale features of the global features of music utterance through the multiscale 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. 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 designs system functional modules. Finally, this paper evaluates the performance of the system constructed in this paper by means of teaching experiments. From the experimental analysis, it can be seen that the system constructed in this paper has a good teaching effect.
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East China Univ Polit Sci & Law, Dept Phys Educ, Shanghai 201620, Peoples R ChinaEast China Univ Polit Sci & Law, Dept Phys Educ, Shanghai 201620, Peoples R China
Jia, Liqiang
Li, Lingshu
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Shanghai Int Studies Univ, Dept Phys Educ, Shanghai 200083, Peoples R ChinaEast China Univ Polit Sci & Law, Dept Phys Educ, Shanghai 201620, Peoples R China
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Peking Univ, Guanghua Sch Management, Beijing 100091, Peoples R China
Beijing Bo Tsing Technol Co Ltd, Beijing 100176, Peoples R ChinaPeking Univ, Guanghua Sch Management, Beijing 100091, Peoples R China
Feng, Xiaobing
Wang, Yongke
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Sinopec Fifth Construct Co Ltd, Guangzhou 510145, Peoples R ChinaPeking Univ, Guanghua Sch Management, Beijing 100091, Peoples R China
Wang, Yongke
Han, Fei
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Univ Sci & Technol Beijing, Beijing 100083, Peoples R ChinaPeking Univ, Guanghua Sch Management, Beijing 100091, Peoples R China
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North China Univ Sci & Technol, Qinggong Coll, Fac Int Languages, Tangshan 064000, Hebei, Peoples R ChinaNorth China Univ Sci & Technol, Qinggong Coll, Fac Int Languages, Tangshan 064000, Hebei, Peoples R China
Miao, Yuji
Zhang, Si
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North China Univ Sci & Technol, Qinggong Coll, Fac Int Languages, Tangshan 064000, Hebei, Peoples R ChinaNorth China Univ Sci & Technol, Qinggong Coll, Fac Int Languages, Tangshan 064000, Hebei, Peoples R China