In the context of automatic speech recognition and acoustic event detection, an adaptive
procedure named per-channel energy normalization (PCEN) has recently shown to …

Within the context of assistive robotics we develop an intelligent interface that provides
multimodal sensory processing capabilities for human action recognition. Human action is …

In the field of human speech capturing systems, a fundamental role is played by the source
localization algorithms. In this paper a Speaker Localization algorithm (SLOC) based on …

Human-robot interaction (HRI) is a research area of growing interest with a multitude of
applications for both children and adult user groups, as, for example, in edutainment and …

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 …

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 …

Abstract The Internet of Things (IoT) offers opportunities for new applications and services
that enable users to access and control their working and home environment from local and …

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 …

Motivated by the recent advances in human-robot interaction we present a new dataset, a
suite of tools to handle it and state-of-the-art work on visual gestures and audio commands …

We present our system for speech activity detection and speaker localization inside a smart
home with multiple rooms equipped with microphone arrays of known geometry and …