Sound source description for music information retrieval

音乐信息检索的声源描述

• 批准号: 298270-2007
• 负责人: Tzanetakis, George
• 金额: $ 1.46万
• 依托单位: University of Victoria
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2011
• 资助国家: 加拿大
• 起止时间: 2011-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=480652
• 关键词: Sound; source; description; music; information

Music Information Retrieval (MIR) is an emerging area of multimedia research dealing with the analysis and retrieval of music in digital form. The proposed research program is focused on improving the state-of-the-art in MIR algorithms for processing audio signals using ideas from sound source separation. In the past few years there has been steady progress in various topics of audio MIR such as genre/style/mood/artist classification, segmentation, summarization and similarity retrieval. In the majority of existing algorithms the audio signal is represented statistically without any effort to identify and characterize individual sound sources.

音乐信息检索（MIR）是多媒体研究的一个新兴领域，涉及对数字形式的音乐进行分析和检索。拟议的研究计划侧重于利用声源分离的思想改进MIR算法中处理音频信号的最先进技术。在过去的几年里，音频MIR的流派/风格/情绪/艺术家分类、分割、摘要和相似检索等各个主题都取得了稳步的进展。在大多数现有算法中，音频信号是统计地表示的，而没有任何识别和表征单个声源的努力。