Wouldn t it be nice if we had a tool that could offer people the right music for a specific time and place? For HORECA (hotel, restaurants and cafés) businesses, providing appropriate music is often not just nice, but essential. Typically this boils down to music that matches a certain situation on desired atmospheres, this will be defined as a musical context (MC). The developed tool, a music ...

We present a simple and effective infrastructure for domain adaptation for statistical machine translation (MT). To build MT systems for different domains, it trains, tunes and deploys a single translation system that is capable of producing adapted domain translations and preserving the original generic accuracy at the same time. The approach unifies automatic domain detection and domain model...

The human brain is able to learn, generalize, and predict crossmodal stimuli. Learning by expectation fine-tunes crossmodal processing at different levels, thus enhancing our power of generalization and adaptation in highly dynamic environments. In this paper, we propose a deep neural architecture trained by using expectation learning accounting for unsupervised learning tasks. Our learning mod...

This paper examines how sentence mode is encoded in the typically falling (Inis Mór) and rising (Donegal) varieties of Irish (Gaelic). Analyses cover the phonological description of tunes as well as the global and local f0 metrics in statements and two question types. Results suggest that sentence mode is already marked by tune in Donegal Irish. Inis Mór, however, uses the same array of tunes i...