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论文作者:www.51lunwen.org论文属性:硕士毕业论文 thesis登出时间:2014-07-07编辑:felicia点击率:24788
论文字数:8929论文编号:org201407062205435872语种:英语 English地区:中国价格:免费论文
关键词:principal approachesMusic EducationArtificial Intelligencecreativityproblem-seekingproblem-solving
摘要:音乐教育,是一个急需创造力、想象力、求知欲的教育领域,涉及到各个学科的知识内容,如音乐心理学、哲学、计算机科学等,随着音乐教育的不断发展,人工智能渐渐融入到音乐教育中。本文通过人工智能在音乐教育中的作用,探索其今后的发展。
Experiments with Vivace enabled Thomas to realise the need to make human pupils aware of high level phase structure prior to detailed chord writing. As a result of her experiments, Thomas was able to use her new knowledge about the task, as a result of ‘teaching’ her expert system, and write a new teaching text book based on her findings. Part of this knowledge was used in a simple commercial ITS, which criticises student’s voice-leading (MacVoice).
3.2 MacVoice
MacVoice criticises voice-leading aspects of four part harmonisation. It is a Macintosh program based on the expert system Vivace. The MacVoice also includes a music editor as part of its interface. MacVoice makes it possible to input any note, any chord at a time or a voice at a time, or notes in any disconnected fashion. As soon as a note is placed on the stave, it will display its guess as to the function of the corresponding chord in the form of an annotated Roman numerical.
Three are two important limitations of this system as follows: firstly, all chords must form Homophonic blocks (all notes must be of the same duration); and secondly, the piece must be in a single key. There is one other menu function, called ‘voice-leading’.This particular function inspects the harmonisation in line with a set of base rules for voice-leading, indicating any errors. MacVoice is quite flexible to use.
MacVoice has been used practically at Carnegie Mellon University. MacVoice does not give positive strategic advice. It only points out errors. It does not address the efficiency or any other benefits of the chord sequences involved. Further research on this topic may include a visual display of what the voice-leading constraints are, or the possible preferred outcomes.
3.3 Lasso
Lasso was formalised by Lux (1725). It is an intelligent tutoring system designed for the 16th century counterpart and is limited to two voices. Newcomb’s approach focuses on intending to provide simple and consistent guidelines to help students know what is required to pass exams. The process of codification of the necessary knowledge goes beyond that of text book rules and guidance. Like Thomas, Newcomb was aware of this, however, approached it using a probabilistic manner, analysing scores to find out such facts as ‘the allowable ratio of skip to non-skip melodic intervals’ and ‘how many eighth note passages can be expected to be found in a piece of a given length’ (Newcomb, 1985).
Also, the knowledge used for criticising students work is being coded as branch procedural code. There are also unvarying canned error messages, help messages and congratulatory messages. This will assist students, offering some form of motivation. Lasso is a v本论文由英语论文网提供整理,提供论文代写,英语论文代写,代写论文,代写英语论文,代写留学生论文,代写英文论文,留学生论文代写相关核心关键词搜索。