Deep learning-based pathological speech detection approaches are gaining popularity as a
diagnostic tool to support time-consuming and subjective clinical assessments. While these …

Although automatic pathological speech detection approaches show promising results when
clean recordings are available, they are vulnerable to additive noise. Recently it has been …

Semantic feature combination/parsing issue is one of the key problems in sound event
classification for acoustic scene analysis, environmental sound monitoring, and urban …

Current speaker verification systems achieve impressive results in quiet and controlled
environments. However, using these systems in real-life conditions significantly impacts their …

SPEAKER recognition systems are among the well-suited and well-known applications in
the domain of speech processing. Generally speaking, the goal of a speaker recognition …

Speaker recognition systems authenticate the identity of speakers from their speech
utterances. In order to authenticate the identity of a claimed user, it is required to obtain a …