  We introduce the new task of Acoustic Question Answering (AQA) to promote
research in acoustic reasoning. The AQA task consists of analyzing an acoustic
scene composed by a combination of elementary sounds and answering questions
that relate the position and properties of these sounds. The kind of relational
questions asked, require that the models perform non-trivial reasoning in order
to answer correctly. Although similar problems have been extensively studied in
the domain of visual reasoning, we are not aware of any previous studies
addressing the problem in the acoustic domain. We propose a method for
generating the acoustic scenes from elementary sounds and a number of relevant
questions for each scene using templates. We also present preliminary results
obtained with two models (FiLM and MAC) that have been shown to work for visual
reasoning.
