ChMusic: A Traditional Chinese Music Dataset for Evaluation of Instrument Recognition

Gong, Xia; Zhu, Yuxiang; Zhu, Haidi; Wei, Haoran

doi:10.1145/3490322.3490351

Cited by 28 publications

(29 citation statements)

References 29 publications

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“…Zhang proposed to improve the supporting facilities of the intangible cultural protection system, improve the rural centripetal force with cultural elites as the core, restore the inheritance function and guiding value of intangible cultural heritage in rural society, and rebuild the regeneration mechanism of folk cultural elites, so as to truly promote the development of intangible cultural heritage protection in the direction of inheritance and sustainable development. But he did not put forward specific measures [1]. Kogiso inspected the dissemination process of pelota mixteca in the United States and focused on the specific cultural aspects of traditional and indigenous sports as intangible cultural heritage.…”

Section: Related Workmentioning

confidence: 99%

Big Data Analysis Research on the Deep Integration of Intangible Cultural Heritage Inheritance and Art Design Education in Colleges and Universities

Zou

2022

Mobile Information Systems

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Intangible cultural heritage involves a large number of national traditions, or folk unique knowledge, language, and customs, derived from folk dance and music as well as traditional medicine and other forms of art. China’s intangible cultural heritage plays a key role in the whole national traditional culture. Strengthening the protection of intangible cultural heritage and promoting its continuous development is an important way and inevitable choice to strengthen cultural self-confidence and build a cultural power. As the builders and successors of the socialist cause, college students must strengthen their cultural self-confidence and shoulder important responsibilities in the construction of a cultural power. Big data is a new technology in the Internet era. Using big data technology to realize the collection, preservation, retrieval, reproduction, integration, dissemination, and utilization of intangible cultural heritage information can better meet the requirements of the times, so as to provide new opportunities, conditions, and means for the inheritance and development of intangible cultural heritage. This article will discuss the use of big data to analyze the research talent training of the deep integration of intangible cultural heritage inheritance and art design education in colleges and universities. This article introduces the background and significance of intangible cultural heritage inheritance and educational integration, introduces its related methods, and then designs a new mode of intangible cultural heritage learning in colleges and universities based on big data. Finally, this article applies the model to college education and then investigates the students’ experience of the new model curriculum, and comes to the conclusion that the proportion of people who choose to like and very much like the new model is 69.3%; 83.3% of the people who chose to agree and strongly agree with the new model were helpful to themselves. In short, the application and design of the new curriculum model is still relatively successful.

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Section: Related Workmentioning

confidence: 99%

Big Data Analysis Research on the Deep Integration of Intangible Cultural Heritage Inheritance and Art Design Education in Colleges and Universities

Zou

2022

Mobile Information Systems

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“…e training module, composition module, and database are the three basic components of the automatic accompaniment system. e training module, for example, reads in the sample spectrum, recognizes and collects the sound pattern structure, and modifies the HMM parameters; the database, on the other hand, is used to store various types of music data and collect the sound pattern element structure [27,28]. Using the parameter information from the training section and the sound pattern element structure saved in the database, the composition module reads in a single melody piece and generates a song with piano accompaniment [29].…”

Section: E Design Goal and Composition Of The Automatic Accompaniment...mentioning

confidence: 99%

Designing an Automatic Piano Accompaniment System using Artificial Intelligence and Sound Pattern Database

2022

Mobile Information Systems

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The rapid development of artificial intelligence has made various fields to have corresponding connections with it, and music plays an important role in daily life. One of the applications of artificial intelligence in the field of art is to use music generation algorithms to endow machines with the function of generating melody. This ability can provide certain assistance to musicians when composing music, so that music creators can inspire inspiration in the creative process. Researchers have done a lot of work in the automatic generation of music. The piano is widely used in the field of automatic accompaniment and has strong versatility. The main purpose of this paper is to design a piano-based automatic accompaniment system, to think of melody and harmony as a machine learning-like task. By training on a selected series of samples, a database of phonomorphic metastructures is constructed, to systematically collect the original piano accompaniment patterns by building a sound pattern database, and convert the collected original sound patterns into the original sound pattern structure and store in the database. Then, by establishing two Hidden Markov Model (HMM) systems to simulate the thinking mode of the composer’s piano accompaniment process, a melody style related to a certain collection of samples is formed. Finally, the Viterbi algorithm is used to select the appropriate piano accompaniment metastructure in the database to generate the piano accompaniment of the melody section. The experimental results of this paper show that, as far as the accompaniment generation effect is concerned, although the generation effect of this paper is slightly different, the overall difference does not change much. It shows that the effect generated by the method in this paper is relatively stable.

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“…e training plan and implementation of music talents in colleges have irreplaceable significance for the development of each student, so the construction of music education curriculum system in colleges is particularly important. Music education is not only an important means of teaching quality for classmates, but also an important means of cultivating musicians in colleges [8,9]. It stimulates classmates' lofty ideals, cultivates classmates' sentiment, and improves classmates' aesthetic ability and cultural quality [10,11].…”

Section: Introductionmentioning

confidence: 99%

Innovation of Digital Multimedia VR Technology in Music Education Curriculum in Colleges and Universities

Xiao

2022

Scientific Programming

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The art of music is the art of hearing, helping humans to establish good aesthetic interests. Music education is not only an important means of quality education for students, but also an important way to cultivate musical talents in colleges and universities. It inspires students’ lofty ideals, cultivates their sentiments, and improves their aesthetic ability and cultural quality. The emergence of digital multimedia VR technology has made the traditional music education in colleges and universities seem a bit high and low. In the new era, the exploration of VR technology in music education is very challenging. It is especially important to explore the innovation of music education mode in colleges and universities in the era of digital multimedia VR technology. The goal of this paper is to explore the innovation of music curriculum in colleges and universities in the era of digital multimedia VR technology. According to the relevant research materials at home and abroad, drawing on and absorbing the new education and teaching ideas and new teaching achievements, adopting the methods of questionnaire, interview, and classroom observation, and taking the implementation of digital multimedia VR art course as a sample, the experimental results show that up to 72.2% of the classmates say that the implementation of digital multimedia VR art course is effective, and their music teachers occasionally use digital multimedia VR teaching facilities. Equipment is closed to teach digital multimedia VR courses in music class, and the data is on the rise. Through the survey on the current situation of the implementation of the digital multimedia VR teaching in colleges, it provides a more detailed basis for the reform of the music curriculum in colleges and makes the digital multimedia VR teaching tend to improve in the implementation of music in colleges.

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ChMusic: A Traditional Chinese Music Dataset for Evaluation of Instrument Recognition

Cited by 28 publications

References 29 publications

Big Data Analysis Research on the Deep Integration of Intangible Cultural Heritage Inheritance and Art Design Education in Colleges and Universities

Big Data Analysis Research on the Deep Integration of Intangible Cultural Heritage Inheritance and Art Design Education in Colleges and Universities

Designing an Automatic Piano Accompaniment System using Artificial Intelligence and Sound Pattern Database

Innovation of Digital Multimedia VR Technology in Music Education Curriculum in Colleges and Universities

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