According to the thermo-acoustic model introduced by Askaryan, the instantaneous energy deposition of a particle’s shower in a medium produces a sound wave. The concept of acoustic neutrino detection is based on this principle. As the extremely low flux of Ultra-High Energy cosmic neutrinos is a limiting factor for the study of related astrophysical phenomena, large detector configurations have to be built. As sound has a much larger attenuation length than light
in water, the development of hydrophone array-based detectors is a feasible solution. The ability to identify Ultra-High Energy neutrino induced acoustic pulses in underwater sound is discussed in this contribution. Acoustic pulses from Ultra-High Energy hadronic showers in the sea water simulated in the EeV regime are added to sea-state 0 noise recordings collected at a water depth of 1600 meters, Southwest of Peloponnese, Greece. Sophisticated signal processing and artificial intelligence techniques are developed and used for signal identification.