Emotion Classification in Contempory Music

该项目的目的是开发软件，可以自动分类任何音乐作品的情感内容。最近，大型个人数字音乐收藏和在线音乐零售商的流行度增加，导致了对新的交互式访问方法的需求。目前大型音乐数据库的接口只允许用户按流派、艺术家或与其他音乐项的相似性搜索音乐，在自动提取音乐情感内容方面的研究很少。现有的方法只在古典音乐作品上进行了测试，这些算法往往依赖于一组相当有限的音乐特征。有各种各样的音乐特征，如调式（一系列给定的音乐间隔），调性（音乐中音高之间的关系）和音高（感知频率），这些都是在音乐创作中表达情感的关键。该项目的目的是开发软件，使用这些功能，以更准确地识别任何一段音乐的情感内容，允许用户浏览音乐的情感效果代表了一个步骤，解决用户的需求和偏好，在音乐信息检索。这项技术将允许用户轻松地选择他们自己的个人音乐数据库的子集，以适应他们当前的情绪。像这样的软件是技术如何无缝融入我们日常活动的一个很好的例子。

The aim of the project is to develop software which can automatically classify the emotional content of any piece of music. The recent increase in popularity of large personal digital music collections and online music retailers has led to a need for new, interactive access methods. Current interfaces to large music databases only allow users to search for music by genre, artist, or similarity to other music items.There is very little research in the area of automatically extracting the emotional content of music. Existing methods have been tested only on classical music pieces, and these algorithms have tended to rely on a fairly limited set of musical features. There is a variety of music features such as mode (a given series of musical intervals), tonality (the relationship between pitches in the music), and pitch (perceived frequency) which are key to expressing emotion in the composition of music. The project aim is to develop software that uses these features to more accurately identify the emotional content of any piece of musicAllowing the user to browse for music by its emotional effect represents a step toward addressing the needs and preferences of the user in music information retrieval. This technology will allow the user to easily select a subset of their own personal music database to suit their current mood. Software like this is a good example of how technology can seamlessly merge into our daily activities.