Speech intelligibility (SI) measurement has attracted great attention in the speech
communication community over the last decade. It is a critical consideration for speech …

Speech signals are often affected by additive noise and distortion which can degrade the
perceived quality and intelligibility of the signal. We present a new measure, NISA, for …

We present NISI, a novel non-intrusive speech intelligibility assessment method based on
feature extraction and a binary tree regression model. A training method using the intrusive …

This paper proposes an innovative interdisciplinary approach to evaluating the effectiveness
of forensic speech enhancement (FSE). FSE faces unique challenges arising from a range …

This paper addresses the performance of objective methods for speech quality assessment
in signals with realistic, block-varying degradations. A block algorithm is presented which …

Speech recordings obtained in the context of law enforcement are often degraded in terms
of quality and intelligibility. Several techniques for assessing the impact of speech …

With an increase of autonomy in vehicles, also the importance of driver state detection
systems is becoming more relevant. By analyzing the driver's steering behaviour and her/his …

Speech signals acquired, transmitted or stored in non-ideal conditions are often degraded
by one or more effects including, for example, additive noise. These degradations alter the …

Single-channel speech dereverberation is a challenging problem of deconvolution of
reverberation, produced by the room impulse response, from the speech signal, when only …