We present a new, extended version of the voiceHome corpus for distant-microphone
speech processing in domestic environments. This 5-hour corpus includes short …

The classification of human-made acoustic events is important for the monitoring and
recognition of human activities or critical behavior. In our experiments on acoustic event …

In this work, we investigate the efficacy of Micro Electro-Mechanical System (MEMS)
microphones, a newly developed technology of very compact sensors, for multichannel …

The paper focuses on the design of a practical system pipeline for always-listening, far-field
spoken command recognition in everyday smart indoor environments that consist of multiple …

The main objective of smart homes is to improve the quality of life and comfort of their
inhabitants through automation systems and ambient intelligence. Voice-based interaction …

Acoustic events that are produced by people can be used to recognize activities or other
critical behavior. This contribution presents our first experiments on acoustic event …

In this paper, we propose two multi-channel extensions of non-negative matrix factorization
(NMF) for acoustic event detection. The first method performs decision fusion on the …

We introduce a unique, comprehensive Austrian German multi-sensor corpus with moving
and non-moving speakers to facilitate the evaluation of estimators and detectors that jointly …

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

This paper presents the design of a laboratory for object localization and tracking using
acoustic and visual information. The audio-video laboratory of the junior professorship …