This thesis examines machine learning through the lens of human-computer interaction in
order to address fundamental questions surrounding the application of machine learning to …

This paper presents a quadrocopter flying in rhythm to music. The quadrocopter performs a
periodic side-to-side motion in time to a musical beat. Underlying controllers are designed …

In this paper a novel approach that adopts Convolutional Neural Networks (CNN) for the
Beat Tracking task is proposed. The proposed architecture involves 2 convolutional layers …

Computers have been used to analyze and create music since they were first introduced in
the 1950s and 1960s. Beginning in the late 1990s, the rise of the Internet and large scale …

This paper presents a platform for rhythmic flight with multiple quadrocopters. We envision
an expressive multi-media dance performance that is automatically composed and …

Human-robot interaction through music in real environments is essential for humanoids,
because such a robot makes people enjoyable. We thus developed a beat-tracking robot …

In this paper, we describe three singing information processing systems, VocaListener,
VocaListener2, and VocaWatcher, that imitate singing expressions of the voice and face of a …

Dance movement is intrinsically connected to the rhythm of music and is a fundamental form
of nonverbal communication present in daily human interactions. In order to enable robots to …

In this paper, we describe VocaWatcher, a novel robot motion generator that enables a
humanoid robot to sing with realistic facial expressions and naturally synthesized singing …

To be used on a mobile robot, speech/non-speech discrimination must be robust to
environmental noise and to the position of the interlocutor, without necessarily having to …