期刊:
Journal of Supercomputing,2023年79(6):6560-6582 ISSN:0920-8542
通讯作者:
Weiming Liu
作者机构:
[Liu, Weiming] Hunan City Univ, Coll Art, Yiyang 413000, Peoples R China.
通讯机构:
[Weiming Liu] C;College of Art, Hunan City University, Yiyang, China
关键词:
Deep learning;Neural network;Generative adversarial network;Music generation;Intelligent composition
摘要:
The production of traditional music is too complicated, consuming a lot of financial and human resources. Therefore, this paper aims to use artificial intelligence (AI) for songwriting and to explore the development and application of the Generative Adversarial Network (GAN) in smart music. An improved GAN-based Multi-Track Music (MTM)-GAN is established. The model is validated with the generation of 5 different music tracks for bass, drums, guitar, piano, and strings. The verification results are compared with the music generated by the existing Multi-Track Sequential GAN (MuseGAN) index evaluation method. The results show that many music clips generated by the MTM-GAN model are smooth and have a certain artistic aesthetic effect. Through the comparison of the two convergence curves of MuseGAN and MTM-GAN, when the penalty term is increased, the MTM-GAN of Consistency Term (CT) converges faster, and the training process is more stable. The numerical space of the parameter distribution obtained by the MTM-GAN-based music segment test is significantly smaller than that of MuseGAN. The probability of MTM-GAN overfitting is small. 62.8% of music listeners cannot distinguish the generated melody from the real melody. Therefore, the proposed model has the advantages of a more stable, more realistic, and faster fitting speed in music generation, indicating that the music generation method is effective.
摘要:
With the rapid development of online e-commerce, traditional collaborative filtering algorithms have the disadvantages of data set reduction and sparse matrix filling cannot meet the requirements of users. This paper takes handicrafts as an example to propose the design and application of handicraft recommendation system based on an improved hybrid algorithm. Based on the theory of e-commerce system, through the traditional collaborative filtering algorithm of users, the personalized e-commerce system of hybrid algorithm is designed and analyzed. The personalized e-commerce system based on hybrid algorithm is further proposed. The component model of the business recommendation system and the specific steps of the improved hybrid algorithm based on user information are given. Finally, an experimental analysis of the improved hybrid algorithm is carried out. The results show that the algorithm can effectively improve the effectiveness and exemption of recommending handicrafts. What’s more, it can reduce the user item ratings of candidate set and improve accuracy of the forecast recommendation.
期刊:
Advances in Mathematical Physics,2021年2021 ISSN:1687-9120
通讯作者:
Ko, Young Chun
作者机构:
[Liu, Yiying] Hunan City Univ, Coll Art, Yiyang 413000, Hunan, Peoples R China.;[Ko, Young Chun] Sehan Univ, Dept Teaching Profess, Chungnam 58447, South Korea.
通讯机构:
[Ko, Young Chun] S;Sehan Univ, Dept Teaching Profess, Chungnam 58447, South Korea.
期刊:
Agro Food Industry Hi-Tech,2017年28(1):79-82 ISSN:1722-6996
通讯作者:
Liu, Xianyou
作者机构:
[Liu, Xianyou] Hunan City Univ, Sch Arts & Commun, Yiyang, Hunan, Peoples R China.
通讯机构:
[Liu, Xianyou] H;Hunan City Univ, Sch Arts & Commun, Yiyang, Hunan, Peoples R China.
关键词:
"CLPT" mode;"The Belt and Road";Personnel training;Teaching Chinese to speakers of other language
摘要:
In order to improve the comprehensive quality of the students of Teaching Chinese to Speakers of Other Language and to cultivate the compound applied talents with practical ability, the major of Teaching Chinese to Speakers of Other Language needs innovative personnel training mode. On the basis of "The Belt and Road" strategy, from the personnel training objectives, curriculum system, practice teaching and other aspects, this paper provides the comprehensive personnel training mode which combines the culture, language, practice and thinking, and it is called "CLPT". Through determining the personnel training objectives, optimizing the curriculum system, establishing a complete practice teaching system and other methods, the traditional talent training model has been deeply improved by this model. Under the circumstance that the current course of Teaching Chinese to Speakers of Other Language has poor pertinence and the assignment of class hour is not reasonable, adopting "CLPT" personnel training mode has positive effect on the cultivation of the students of Teaching Chinese to Speakers of Other Language.