摘要
由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-研究人员详细介绍了机器学习的新数据。根据NewsRx Comresponden TS来自意大利巴里的新闻报道，研究表明：“自20世纪70年代以来，随着计算机和相关设备等技术的进步，音乐创作领域经历了重大演变。然而，在领域算法作曲方面，人工智能(AI)在声音生成和合成方面的研究有限。”这项研究的资助者包括Politecnico di Bari,SECURE SAFE APULIA,CTEMT-“Casa delle Tecnologie Emergenti di Matera。我们的新闻编辑从巴里理工大学的研究中获得了一句话:“现有的方法主要强调声音合成技术，而目前没有采用尼古拉斯·斯洛尼姆斯基理论框架的音乐创作系统。本文介绍了基于L机器学习(ML)算法和脑机接口(BCI).ML算法将用户的心理状态分为专注和放松两大类。通过对某音乐学院电子音乐实验室19名学生的用户研究，评估了NeuralPMG。他们都活跃在音乐创作领域。这项研究包括对参与者与NeuralPMG互动的综合分析。他们在研究期间创作的作品还由两名领域专家进行评估，他们讨论了他们的美学、创新、精练水平、实用适用性和情感影响。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in Machine Learning. According to news reporting originating from Bari, Italy, by NewsRx corresponden ts, research stated, “The realm of music composition, augmented by technological advancements such as computers and related equipment, has undergone significant evolution since the 1970s. In the field algorithmic composition, however, the i ncorporation of artificial intelligence (AI) in sound generation and combination has been limited.” Funders for this research include Politecnico di Bari, SECURE SAFE APULIA, CTEMT - “Casa delle Tecnologie Emergenti di Matera. Our news editors obtained a quote from the research from Polytechnic University Bari, “Existing approaches predominantly emphasize sound synthesis techniques, w ith no music composition systems currently employing Nicolas Slonimsky’s theoret ical framework. This article introduce NeuralPMG, a computer-assisted polyphonic music generation framework based on a Leap Motion (LM) device, machine learning (ML) algorithms, and brain-computer interface (BCI). ML algorithms are employed to classify user’s mental states into two categories: focused and relaxed. Inte raction with the LM device allows users to define a melodic pattern, which is el aborated in conjunction with the user’s mental state as detected by the BCI to g enerate polyphonic music. NeuralPMG was evaluated through a user study that invo lved 19 students of Electronic Music Laboratory at a music conservatory, all of whom are active in the music composition field. The study encompassed a comprehe nsive analysis of participant interaction with NeuralPMG. The compositions they created during the study were also evaluated by two domain experts who addressed their aesthetics, innovativeness, elaboration level, practical applicability, a nd emotional impact.”
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