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In this paper we describe approaches for discovering acoustic concepts and relations in text. The first major goal is to be able to identify text phrases which contain a notion of audibility and can be termed as a sound or an acoustic concept. We also propose a method to define an acoustic scene through a set of sound concepts. We use pattern matching and parts of speech tags to generate sound concepts...
We propose an autism spectrum disorder (ASD) prediction system based on machine learning techniques. Our work features the novel development and application of machine learning methods over traditional ASD evaluation protocols. Specifically, we are interested in discovering the latent patterns that possibly indicate the symptom of ASD underneath the observations of eye movement. A group of subjects...
In this paper we explore the idea of defining sound objects and how they may be detected. We try to define sound objects and demonstrate by our experiments the existence of these objects. Most of current works on acoustic event detection focus on detecting a finite set of audio events and the detection of a generic object in sound is not done. The major reason for proposing the idea of sound objects...
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