In an attempt to increase the robustness of automatic speech recognition (ASR) systems, a
feature extraction scheme is proposed that takes spectro-temporal modulation frequencies …

The effect of bio-inspired spectro-temporal processing for automatic speech recognition
(ASR) is analyzed for two different tasks with focus on the robustness of spectro-temporal …

In this article we present a new framework for auditory processing that combines feature
extraction and grouping processes to form what we call audio proto objects. These proto …

We investigate how word prominence can be detected from the acoustic signal and
movements of the speaker's head and mouth. Our research is based on a corpus with 12 …

Based on inspirations from infant development we present a system which learns
associations between acoustic labels and visual representations in interaction with its tutor …

Despite several decades of research, automatic speech recognition (ASR) lacks the
performance achieved by human listeners. One of the major challenges in ASR is to cope …

In this article we present an approach for separating robot-directed speech from
environmental sounds for applications in robot audition under high noise conditions. We …

To overcome limitations of purely spectral speech features we previously introduced
Hierarchical Spectro-Temporal (HIST) features. We could show that a combination of HIST …

Automatic speech recognition (ASR) systems still do not perform as well as human listeners
under realistic conditions. The unmatched ability of humans to understand speech in most …

We present an audio-visual attention system for speech based interaction with a humanoid
robot where a tutor can teach visual properties/locations (eg” left”) and corresponding …