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首页> 外文期刊>Journal of ambient intelligence and humanized computing >Integration of a music generator and a song lyrics generator to create Spanish popular songs
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Integration of a music generator and a song lyrics generator to create Spanish popular songs

机译：音乐生成器和歌曲歌词生成器的集成，以创建西班牙语流行的歌曲

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The automatic generation of music is an emerging field of research that has attracted wide attention in Computer Science. However, most works are centered in classical music. This work develops ETHNO-MUSIC, an intelligent system that generates melodies based on popular music. ETHNO-MUSIC generates melodies with Markov models, which learns from a corpus of Spanish popular music. Then, given the importance of the lyrics in this context, ETHNO-MUSIC was integrated with Tra-La-Lyrics, an existing system that generates lyrics following a melody, which has been specifically adapted to suit this purpose. Several experiments were carried out to evaluate the quality of the results, based on human opinions towards generated pieces of music and lyrics. Overall, results are positive. Briefly, they reflect that, on the one hand, the melodies transmit a feeling of Spanish popular music, and on the other hand, the text of the lyrics is related to the topics analyzed, and the rhythm follows the melodic aspects of the music.
机译：自动生成音乐是一种新兴的研究领域，在计算机科学中引起了广泛的关注。但是，大多数作品都以古典音乐为中心。这项工作开发了Ethno-Music，这是一个创造基于流行音乐的旋律的智能系统。 Ethno-Music产生与马尔可夫模型的旋律，从西班牙流行音乐的语料库中学习。然后，鉴于歌词在这方面的重要性，Ethno-Music与Tra-La-Lyrics集成，一个现有的系统，在旋律之后产生歌词，专门适合这种目的。进行了几次实验，以评估结果的质量，基于人类对生成的音乐和歌词的影响。总的来说，结果是积极的。简而言之，他们反映出来，一方面，旋律传递一种西班牙流行音乐的感觉，另一方面，歌词的文本与分析的主题有关，节奏遵循音乐的旋律方面。

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