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On the way to ambient media for sheet music by techniques of information retrieval

机译:通过信息检索技术在活页乐谱到环境媒体的途中

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When the smart computing devices are more pervasive, the ambient media are more penetrating into daily lives. In order to make sheet music as ambient media, the research takes the important step to transform sheet music, Chinese hymn, into computer readable and playable form by optical music recognition (OMR) of information retrieval (IR) techniques. As one of music notation system, the numbered music notation is popular in many Asia countries. The building blocks and challenges to build an OMR system for this notation are illustrated in the study. The research proposed the music notation intermediate format (MNIF) for the OMR system for algorithm development and database construction. The study also devised the algorithms to improve the recognition rates of digit notation, pitch notation and length notation, including self-training learning model. Moreover, the study provided the metrics to evaluate the performance of OMR system for different stages and the longest common notes (LCN) based procedures to enable the scoring. The results of the evaluation on the proprietary OMR dataset show the performance level of the current note recognizer. Especially, to the best knowledge of the authors, the OMR dataset and the system are the first systematic construction to address the application.
机译:当智能计算设备更加普及时,环境媒体将更深入地渗透到日常生活中。为了使活页乐谱成为环境媒体,这项研究迈出了重要的一步,即通过信息检索(IR)技术的光学音乐识别(OMR)将活页乐曲(中国赞美诗)转换为计算机可读和可播放的形式。作为一种音乐符号系统,编号的音乐符号在许多亚洲国家都很流行。该研究说明了为此符号构建OMR系统的基础和挑战。该研究提出了用于OMR系统的音乐符号中间格式(MNIF),用于算法开发和数据库构建。研究还设计了算法,以提高数字符号,音高符号和长度符号的识别率,包括自训练学习模型。此外,该研究提供了用于评估OMR系统在不同阶段的性能的度量标准,以及提供了基于最长通用笔记(LCN)的程序以进行评分的指标。专有OMR数据集的评估结果显示了当前便签识别器的性能水平。特别是,据作者所知,OMR数据集和系统是解决该应用程序的第一个系统结构。

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