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Tra-la-Lyrics 2.0: Automatic Generation of Song Lyrics on a Semantic Domain

机译:Tra-la-Lyrics 2.0:在语义域上自动生成歌曲歌词

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Tra-la-Lyrics is a system that generates song lyrics automatically. In its original version, the main focus was to produce text where stresses matched the rhythm of given melodies. There were no concerns on whether the text made sense or if the selected words shared some kind of semantic association. In this article, we describe the development of a new version of Tra-la-Lyrics, where text is generated on a semantic domain, defined by one or more seed words. This effort involved the integration of the original rhythm module of Tra-la-Lyrics in PoeTryMe, a generic platform that generates poetry with semantically coherent sentences. To measure our progress, the rhythm, the rhymes, and the semantic coherence in lyrics produced by the original Tra-la-Lyrics were analysed and compared with lyrics produced by the new instantiation of this system, dubbed Tra-la-Lyrics 2.0. The analysis showed that, in the lyrics by the new system, words have higher semantic association among them and with the given seeds, while the rhythm is still matched and rhymes are present. The previous analysis was complemented with a crowdsourced evaluation, where contributors answered a survey about relevant features of lyrics produced by the previous and the current versions of Tra-la-Lyrics. Though tight, the survey results confirmed the improvements of the lyrics by Tra-la-Lyrics 2.0.
机译:Tra-la-Lyrics是一个自动生成歌曲歌词的系统。在其原始版本中,主要重点是产生重音与给定旋律的节奏相匹配的文本。无需担心文本是否有意义或所选单词是否共享某种语义关联。在本文中,我们描述了Tra-la-Lyrics的新版本的开发,该文本在一个或多个种子词定义的语义域上生成。这项工作涉及将Tra-la-Lyrics的原始节奏模块集成到PoeTryMe中,PoeTryMe是一个通用平台,可以生成具有语义一致句子的诗歌。为了衡量我们的进步,分析了原始Tra-la-Lyrics产生的歌词的节奏,韵律和语义连贯性,并将其与该系统新实例化的Tra-la-Lyrics 2.0产生的歌词进行了比较。分析表明,在新系统的歌词中,单词之间以及与给定的种子之间具有较高的语义关联,而节奏仍然匹配且存在韵律。先前的分析以众包评估为补充,其中的贡献者回答了有关Tra-la-Lyrics的先前版本和当前版本产生的歌词的相关特征的调查。尽管很严格,但调查结果证实了Tra-la-Lyrics 2.0对歌词的改进。

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