Research on Piano Informatization Teaching Strategy Based on Deep Learning

Hou, Yihao

doi:10.1155/2022/5817752

Cited by 16 publications

(8 citation statements)

References 21 publications

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“…e data imply that the assessment and prediction approach can overcome the subjective features of expert evaluation and deliver accurate results. It has a broader use than the traditional backpropagation neural method [8].…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Evaluation System for Realizing the Ability of University Piano Teaching

2022

Mobile Information Systems

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Students benefit from teacher’s action during education in a variety of subjects. Identifying the need for a better understanding of the influence of various presentation types at different levels of student proficiency is extremely important. Moreover, these skills are also important to any technique of learning piano in a school environment. The significance of music in the school’s curriculum, new concepts for teaching music in the school, and new ideas for teaching piano were among them. This study focuses on a teaching environment and piano learning in which beginning and advanced piano students study to produce a particular style of staccato in three types of group instruction scenarios. The musical difficulty is only demonstrated through audio and observation of the teacher’s action performance. The comprehensive ability evaluation system for piano teaching can, to a certain extent, evaluate and sort the ability of college piano teaching. Therefore, this paper utilizes the attribute method in combination with instant analysis which provides seven attribute indicators. The approach is reasonable, and evaluating characteristics such as the level of the school’s teaching plan set and related psychological weights may well be revised as necessary to address users’ requirements. After completely integrating the qualities of the school and comprehensively examining various contributing factors, the students’ learning quality in different grades or the same grade of colleges and universities may be determined. A comparison against the existing schemes can effectively represent the school’s overall teaching level.

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Section: Introductionmentioning

confidence: 99%

Comprehensive Evaluation System for Realizing the Ability of University Piano Teaching

2022

Mobile Information Systems

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“…From the teacher's perspective, deep learning advocates that teachers design teaching content in a structured, contextualized and activity-based manner so that students can better understand the correlation between knowledge and thus better understand and master the basic ideas and methods of the curriculum [16][17][18].…”

Section: Design Of Ideological and Political Education Network Teachi...mentioning

confidence: 99%

Theories and Methods of Online Ideological and Political Education for College Students in the Context of Deep Learning

Yang

2023

Applied Mathematics and Nonlinear Sciences

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This paper designs a teaching mode for online ideological and political education under deep learning, designing teaching content in a structured, contextualized and activity-based way to enhance teaching effectiveness and learning experience. By mining the learning needs embedded in users’ learning behaviors, customized learning resources are provided for each student to meet the personalized learning needs of different students. It also uses knowledge-forgetting matrix decomposition technology to identify and recommend key knowledge points in teaching content, helping students master important knowledge more effectively. The teaching mode proposed in this paper performs well in resource recommendation, with an average server response time of 15.147ms, while the students’ preference time is above 0.940s, which effectively improves the educational and teaching effect of the theory and method of online ideological and political education for college students.

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“…Literature [8] introduces complex network and multimedia technology into piano teaching cases, classifies, analyzes, researches and evaluates them, eliminates the roughness, preserves the essence, and screens some typical teaching cases that meet the modern learning theory, teaching requirements and the characteristics of the piano discipline. Literature [9] comprehensively considered the complex factors affecting the quality of piano information teaching and proposed to use of the improved BP neural network algorithm to evaluate and predict the quality of piano information teaching, aiming at enriching the piano teaching methods in colleges and universities, and improving the students' learning interest and passion. Literature [10] studied the perceived status of information piano education of college teachers and students, which mainly included a summary of the status of piano teaching in universities, and the findings were analyzed and summarized.…”

Section: Literature Reviewmentioning

confidence: 99%

Teaching Integration of Piano and Traditional Music Elements in Colleges and Universities Based on Network Flow Optimization

Dai

2023

Applied Mathematics and Nonlinear Sciences

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In this paper, from the basis of piano music theory, pitch and twelve equal temperaments are studied, and due to the characteristics of the piano’s construction, there are different timbres and harmonic structures. In order to realize the digitization of music signals for piano teaching, the collected analog signals are converted into digital signals by Fourier transform, the samples are inputted into the neural network model to get the output results, and the loss function based on Markov’s music language model in piano teaching is used to find the partial derivatives of the parameters to realize the maximization of the efficiency of the piano pitch and note recognition. According to the multi-task learning in neural networks and the envelope curve of notes, we construct the automatic music transcription model in piano teaching based on CNN-HMM and use the simulation experiment analysis to empirically analyze the piano teaching based on CNNHMM. The results show that the dual-channel audio results are improved by 2.68% in F1 value, 3.18% in accuracy and 2.61% in recall than the mono audio results. That is, dual-channel audio has richer information than mono audio, which enables the CNN-HNN network to learn richer features and thus improve the pitch and note recognition results. In this paper, the reliability of the teaching quality evaluation results of the CNN-HMM-based quantitative assessment model for facilitating the combination of electronic organ and piano teaching concepts ranges from 78.1% to 85.4%. This study provides guiding value for the development of digital piano teaching, which is of great significance for the innovative reform of piano teaching in colleges and universities.

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Research on Piano Informatization Teaching Strategy Based on Deep Learning

Cited by 16 publications

References 21 publications

Comprehensive Evaluation System for Realizing the Ability of University Piano Teaching

Comprehensive Evaluation System for Realizing the Ability of University Piano Teaching

Theories and Methods of Online Ideological and Political Education for College Students in the Context of Deep Learning

Teaching Integration of Piano and Traditional Music Elements in Colleges and Universities Based on Network Flow Optimization

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