Automated Speech Analysis in Bipolar Disorder

Automated Speech Analysis in Bipolar Disorder - NCBI

Background: Bipolar disorder (BD) involves significant mood and energy shifts reflected in speech patterns. Detecting these patterns is ...

Automated Speech Analysis in Bipolar Disorder - PubMed

Automated speech analysis in BD could provide objective markers for psychopathological alterations, improving diagnosis, monitoring, and response prediction.

(PDF) Automated Speech Analysis in Bipolar Disorder - ResearchGate

PDF | Background: Bipolar disorder (BD) involves significant mood and energy shifts reflected in speech patterns.

The CALIBER Study Protocol and Preliminary Results - MDPI

The article, entitled Automated Speech Analysis in Bipolar Disorder: The CALI-2 BER Study, addresses the use of natural language processing analysis ...

Speech Analysis for Automatic Mania Assessment in Bipolar Disorder

In this work, we classify recordings from Bipolar Disorder corpus that contain 7 different tasks, into hypomania, mania, and remission classes using only ...

Vocal features obtained through automated methods in verbal ...

There is a lack of consensus on the diagnostic thresholds that could improve the detection accuracy of bipolar mixed episodes in clinical ...

JCM | Free Full-Text | Notes - MDPI

Automated Speech Analysis in Bipolar Disorder: The CALIBER Study Protocol and Preliminary Results. J. Clin. Med. 2024, 13, 4997. https://doi ...

Voice analyses using smartphone-based data in patients with ...

Voice features have been suggested as objective markers of bipolar disorder (BD). To investigate whether voice features from naturalistic ...

Speech Analysis for Automatic Mania Assessment in Bipolar Disorder

This work classifies recordings from Bipolar Disorder corpus, that contain 7 different tasks, into hypomania, mania, and remission classes using only speech ...

Automated Speech Analysis in Bipolar Disorder

Summary: Background: Bipolar disorder (BD) involves significant mood and energy shifts reflected in speech patterns. Detecting these patterns is crucial for ...

Speech analysis for mood state characterization in bipolar patients

In this work we propose an algorithm to estimate speech features from running speech with the aim of characterizing the mood state in bipolar patients. This ...

Acoustic features from speech as markers of depressive and manic ...

Voice features could be a sensitive marker of affective state in bipolar disorder (BD). Smartphone apps offer an excellent opportunity to collect voice data.

Automated Speech Analysis in Bipolar Disorder: The CALIBER ...

Conclusions: Automated speech analysis in BD could provide objective markers for psychopathological alterations, improving diagnosis, monitoring, and response ...

Automated Speech Analysis in Bipolar Disorder - OUCI

Background: Bipolar disorder (BD) involves significant mood and energy shifts reflected in speech patterns. Detecting these patterns is crucial for ...

Enrichment using speech latencies improves treatment effect size in ...

Clinical trials in depression lack objective measures. Speech latencies are an objective measure of psychomotor slowing with face validity and empirical ...

Automated analysis of speech as a marker of sub-clinical psychotic ...

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

Latency distributions in speech during structured psychiatric ... - ISCTM

interviews of patients with bipolar depression: automated speech analysis may provide a simple cognitive biomarker. Submitter. Seth Hopkins. Affiliation.

Voice analysis as an objective state marker in bipolar disorder - Nature

Changes in speech have been suggested as sensitive and valid measures of depression and mania in bipolar disorder. The present study aimed ...

Analysis on speech signal features of manic patients - ScienceDirect

We found that the characteristic speech signals differed between mood groups and bipolar groups. The fourth formant (F4) and Linear Prediction Coefficient (LPC) ...

Mood monitoring of bipolar disorder using speech analysis

... bipolar disorder, by analyzing normal conversational speech to identify speech data that is then analyzed through an automated speech data classifier. The ...