Previous adversarial audio attacks have mainly focused on ensuring the effectiveness of
attacking an audio signal classifier via creating a small noise-like perturbation on the …

This paper presents a method to recognize hand motion using an extended particle filter in
real-time. We integrate a deterministic clustering algorithm and particle filter together. The …

Recently, adversarial machine learning attacks have posed serious security threats against
practical audio signal classification systems, including speech recognition, speaker …

Acquisition of instrumental gestures in musical performances is a field of increasing interest
with applications in different areas ranging from acoustics and sound synthesis to motor …

A methodology for motion analysis and hand tracking based on adaptive probabilistic
models is presented. This is done by integrating a deterministic clustering framework and a …

Acquisition of instrumental gestures in musical performances is an important task used in
different fields ranging from acoustics and sound synthesis to motor learning or …

In woodwind instruments such as a flute, producing a higher-pitched tone than a standard
tone by increasing the blowing pressure is called overblowing, and this allows several …

Producing a tone by increasing the blowing pressure to excite a higher frequency
impedance minimum, or overblowing, is widely used in standard flute technique. In this …

The acquisition of musical gestures and particularly of instrumental controls from a musical
performance is a field of increasing interest with applications in performance transcription, 1 …

Adversarial audio attacks pose significant security challenges to real-world audio
applications. Attackers may manipulate speech to impersonate a speaker, gaining access to …