Parkinson's Disease (PD) affects speech in the form of dysphonia and hypokinetic
dysarthria. Multiple studies have evaluated PD's influence on different aspects of speech …

Alzheimer's Disease (AD) is a form of dementia that affects the memory, cognition, and motor
skills of patients. Extensive research has been done to develop accessible, cost-effective …

This paper describes a multi-modal approach for the automatic detection of Alzheimer's
disease proposed in the context of the INESC-ID Human Language Technology Laboratory …

In speech technologies, speaker's voice representation is used in many applications such as
speech recognition, voice conversion, speech synthesis and, obviously, user authentication …

The fast increase of web services and mobile apps, which collect personal data from users,
increases the risk that their privacy may be severely compromised. In particular, the …

Automatic speaker verification systems (ASVs) verify a person's identity by his/her voice and
have been widely deployed for user authentication. However, existing ASVs are based on …

Variations in vocal effort can create challenges for speaker recognition systems that are
optimized for use with neutral speech. The Lombard effect and whisper are two commonly …

Alzheimer's disease (AD) is one of the most common forms of dementia in the world. The
Mini-Mental State Examination, a tool developed to detect AD, is composed of various tests …

Dementia is a chronic or progressive clinical syndrome, characterized by the deterioration of
problem-solving skills, memory and language. In Mild Cognitive Impairment (MCI), which is …

This paper introduces the Crowdsourced Language Assessment Corpus (CLAC), a speech
corpus consisting of audio recordings and automatically-generated transcripts for several …