Application of Internet of Things Technology in Vocal Music Teaching Recording Equipment Assisted by Machine Learning

Guo, Tingjun

doi:10.1155/2022/2091387

Cited by 5 publications

(4 citation statements)

References 21 publications

(13 reference statements)

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“…All of the elements are finished with the help of the base of knowledge. It is a unit that preserves the information and queries given to students and makes it easier for them to answer them properly [14].…”

Section: System Hardware Structure's Designmentioning

confidence: 99%

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Remote Vocal Singing Course Design Based on Embedded System and Internet of Things

Xiong²

2022

Mobile Information Systems

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Distance learning, a new style of teaching, can create a strong sensation of presence through real and vivid communication. It is set to reach a communication effect of deep impression and a lasting memory. It can also obtain students’ course learning records in a timely manner. Students can adjust the teaching content through various learning feedback to meet the requirements of learners. However, for those traditional courses that must be taught in person, such as vocal singing teaching, there is an urgent need to adapt to the new distance learning model. In the teaching methodology of vocal singing, there are often high requirements for equipment in terms of sound, such as radio, encoding, and playback. However, there are very few requirements for images. Nowadays, the distance course platform cannot meet the basic content of vocal teaching. It is even more unable to promote teaching according to the material and personalized teaching. Therefore, this paper proposes a remote vocal singing course design based on an embedded system and the Internet of Things. The research paper meets the basic vocal teaching needs in terms of not only hardware but also remote learning. It can improve student motivation. Combined with network technology, it greatly stimulates students’ sensory thinking of learning. It also improves the teachers’ understanding of students’ singing skills and personalized teaching strategies for different students with specified content. According to their own learning aptitude and learning history, the system may select the instructional materials that the students have not learned. It may provide pupils with the best learning option based on their past selection records. Distance education may give a tailored interface using artificial intelligence. In conclusion, the distance learning system based on the AI networks project is feasible.

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Section: System Hardware Structure's Designmentioning

confidence: 99%

“…e modular structure is utilized to keep the system's common databases in the system independent of one another, thus improving the maintainability of the system [14].…”

Section: Human-computer Interfacementioning

confidence: 99%

Remote Vocal Singing Course Design Based on Embedded System and Internet of Things

Xiong²

2022

Mobile Information Systems

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“…The flipped classroom teaching method will include and put into practice a lot of fresh ideas and concepts. Traditional classroom innovation is achieved by rearranging the time spent in the classroom and adjusting the interval between the internalization of learned material after class [7]. The case study examined the flipped learning strategy that may be used to discover pronunciation errors in spoken English by using big data and deep neural network-based algorithms, allowing students to self-correct and improving spoken English training.…”

Section: Introductionmentioning

confidence: 99%

Analyse Chinese Teaching Project-Based Learning Design Application Optimization Using Keras Model

Weihua Bai

2024

jes

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Educational methods for data mining may be used to successfully analyze data from a variety of educational platforms, including e-learning, e-admission programs, and automated results management solutions, to provide very helpful insights into students' performance. Chinese language teaching will reach new heights as a result of the rapid advancement of network technology and the constant improvement of network transmission speed. Additionally, the acceptance of online payment methods is growing, simplifying international and web-based trade. Deep learning models have become more significant in many spheres of life recently. It made it possible for investigators to automatically extract superior characteristics from unprocessed data.With the aid of the Keras model, make it is easier for students to rapidly obtain practical knowledge with deep learning structures and boost their confidence and enthusiasm for learning. In this study, we investigate the Long Short-Term Memory (LSTM) deep neural network model with Novel Swarm Optimization (NSO) network to accurately forecast student improvement using historical data. The most cutting-edge LSTM and an optimization mechanism model (NSO) have been employed in this work to solve research issues based on sophisticated feature categorization and prediction. For Chinese academics, institutions, and government agencies to accurately anticipate performance, this study is very important. When paired with the optimization mechanism (NSO), LSTM's better sequence learning capabilities provide performance that is superior to the current state-of-the-art. The prediction accuracy of the suggested approach is 93%.

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“…Wireless Communications and Mobile Computing has retracted the article titled "Application of Internet of Things Technology in Vocal Music Teaching Recording Equipment Assisted by Machine Learning" [1] due to concerns that the peer review process has been compromised.…”

mentioning

confidence: 99%

Retracted: Application of Internet of Things Technology in Vocal Music Teaching Recording Equipment Assisted by Machine Learning

Computing¹

2023

Wireless Communications and Mobile Computing

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Application of Internet of Things Technology in Vocal Music Teaching Recording Equipment Assisted by Machine Learning

Cited by 5 publications

References 21 publications

Remote Vocal Singing Course Design Based on Embedded System and Internet of Things

Remote Vocal Singing Course Design Based on Embedded System and Internet of Things

Analyse Chinese Teaching Project-Based Learning Design Application Optimization Using Keras Model

Retracted: Application of Internet of Things Technology in Vocal Music Teaching Recording Equipment Assisted by Machine Learning

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