In forensic voice comparison, deep learning has become widely popular recently. It is mainly
used to learn speaker representations, called embeddings or embedding vectors. Speaker …

We propose an approach to extract speaker embeddings that are robust to speaking style
variations in text-independent speaker verification. Typically, speaker embedding extraction …

Mismatch between enrollment and test conditions causes serious performance degradation
on speaker recognition systems. This paper presents a statistics decomposition (SD) …

Our prior experiments show that humans and machines seem to employ different
approaches to speaker discrimination, especially in the presence of speaking style …

A speaker's voice constantly varies in everyday situations, such as when talking to a friend,
reading aloud, talking to pets, or narrating a happy incident. These changes in speaking …

Abstract Major Depressive Disorder (MDD) is a prevalent mental illness that affects a
significant portion of the global population. Despite its severity, traditional diagnostic …

This thesis aims to achieve better automatic speech recognition (ASR) for children. The most
challenging problem is a lack of transcribed available databases, and thus this problem …

A speaker's voice constantly varies in everyday situations such as talking to a friend, reading
aloud, talking to pets, or narrating a sad incident. These speaking style changes affect the …