Background Clinicians routinely use impressions of speech as an element of mental status
examination. In schizophrenia-spectrum disorders, descriptions of speech are used to …

Background Speech disturbances are a recognised aspect of schizophrenia that may have
potential utility as a diagnostic indicator. Recent advances in quantitative speech …

Background A new area of interest in the search for biomarkers for schizophrenia is the
study of the acoustic parameters of speech called'speech signal features'. Several of these …

Background and hypothesis Speech is a promising marker to aid diagnosis of schizophrenia-
spectrum disorders, as it reflects symptoms like thought disorder and negative symptoms …

Schizophrenia-spectrum disorders (SSD) are highly heterogeneous in risk factors, symptom
characteristics, and disease course outcome. Although speech anomalies have long been …

Purpose Psychiatry still needs objective biomarkers. In the context of schizophrenia, there
are speech abnormalities such as tangentiality, derailment, alogia, neologisms, poverty of …

Currently, there are no established objective biomarkers for the diagnosis or monitoring of
schizophrenia. It has been previously reported that there are notable qualitative differences …

Negative symptoms in schizophrenia are associated with significant burden and possess
little to no robust treatments in clinical practice today. One key obstacle impeding the …

The need for objective measurement in psychiatry has stimulated interest in alternative
indicators of the presence and severity of illness. Speech may offer a source of information …

Automated speech analysis techniques, when combined with artificial intelligence and
machine learning, show potential in capturing and predicting a wide range of psychosis …