This paper focuses on Voice Activity Detectors (VAD) for multi-room domestic scenarios
based on deep neural network architectures. Interesting advancements are observed with …

This paper presents a Voice Activity Detector (VAD) for multi-room domestic scenarios. A
multi-room VAD (mVAD) simultaneously detects the time boundaries of a speech segment …

The advanced smart home environment presents an important trend for the future of human
wellbeing. One of the prerequisites for applying its rich functionality is the ability to …

Distant speech recognition in real-world environments is still a challenging problem and a
particularly interesting topic is the investigation of multi-channel processing in case of …

Domestic environments are particularly challenging for distant speech recognition:
reverberation, background noise and interfering sources, as well as the propagation of …

In this paper we present a Greek speech database with real multi-modal data in a smart
home two-room environment. In total, 20 speakers were recorded in 240 one-minute long …

This paper focuses on employing Convolutional Neural Networks (CNN) with 3-D kernels for
Voice Activity Detectors in multi-room domestic scenarios (mVAD). This technology is …

Περίληψη Στη Διατριβή μας εξετάζουμε το πρόβλημα του εντοπισμού ακουστικών γεγονότων
σε «έξυπνα» περιβάλλοντα με πολλαπλά μικρόφωνα. Ο εντοπισμός ακουστικών γεγονότων …

In the analysis of acoustic scenes, often the occurring sounds have to be detected in time,
recognized, and localized in space. Usually, each of these tasks is done separately. In this …