Automatic Generation of Melodic Accompaniments for Lyrics
Automatic Generation of Melodic Accompaniments for Lyrics
复制标题
自动生成歌词旋律伴奏
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
D. Ventura
中科院分区：
文献类型：
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作者：
Kristine Monteith;T. Martinez;D. Ventura
音乐和语言是人类特有的两个主要领域，许多人类的创造性努力都涉及这两种形式。音乐和口语文本的配对可以增强两者的情感和认知影响-完整的歌曲比歌词或伴奏本身更引人注目。这项工作描述了一个系统，能够自动生成和评估一组给定的歌词的音乐伴奏。它从文本的节奏中推导出旋律伴奏的节奏。音高是通过使用从具有类似风格的歌曲的旋律构建的n元模型来生成的。该系统能够生成与歌词文本很好地匹配的令人愉快的旋律，通常在类似于人类能力的水平上这样做。
Music and speech are two realms predominately species-specific to humans, and many human creative endeavors involve these two modalities. The pairing of music and spoken text can heighten the emotional and cognitive impact of both - the complete song being much more compelling than either the lyrics or the accompaniment alone. This work describes a system that is able to automatically generate and evaluate musical accompaniments for a given set of lyrics. It derives the rhythm for the melodic accompaniment from the cadence of the text. Pitches are generated through the use of n-gram models constructed from melodies of songs with a similar style. This system is able to generate pleasing melodies that fit well with the text of the lyrics, often doing so at a level similar to that of human ability.
影响因子：
2.3
作者：
Schlaug, Gottfried;Marchina, Sarah;Norton, Andrea
通讯作者：
Norton, Andrea