Talks at Google2015.3.25---Gil Weinberg :机器人音乐

Talks at Google2015.3.25---Gil Weinberg :机器人音乐
發佈日期：2015年3月25日
The Robotic Musicianship Group at Georgia Tech aims to facilitate meaningful musical interactions between humans and machines, leading to novel musical experiences and outcomes. In our research we combine computational modeling approaches for music perception, interaction, and improvisation, with novel approaches for generating acoustic responses in physical and visual manners. The motivation for this work is based on the hypothesis that real-time collaboration between human and robotic players can capitalize on the combination of their unique strengths to produce new and compelling music. Our goal is to combine human qualities such musical expression and emotions with robotic traits such as powerful processing, the ability to perform sophisticated mathematical transformations, robust long-term memory, and the capacity to play accurately without practice. The talk will feature a number of computational approach for improvisation using genetic algorithms, hidden Markov models, and fractals which were implemented in 4 different robotic platforms: Haile Shimon Shimi and the robotic drumming prosthesis.
发布日期：2015年年3月25日
机器人音乐技巧集团在佐治亚理工学院的目的是促进人与机器之间的有意义的音乐互动，从而导致新的音乐体验和成果。在我们的研究中，我们结合了计算机建模方法对音乐的感知，互动，即兴创作，用新方法生成的物理和视觉方式声学响应。这样做的动机是工作的基础上，人类和机器人球员之间的实时协作可以在他们的独特优势相结合利用，产生新的，引人注目的音乐的假设。我们的目标是人的素质这样的音乐表现力和情感结合机器人特点，如强大的处理，来执行复杂的数学变换的能力，稳健的长期记忆，并准确地发挥没有实践的能力。讲座将有一些使用遗传算法，隐马尔可夫模型，并分别在4个不同的机器人平台上实现分形即兴计算方法：海尔西蒙十米台和机械手击鼓假体。