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Speech databases for mental disorders: A systematic review.

Yiling Li1, Yi Lin1, Hongwei Ding1

  • 1School of Foreign Languages, Shanghai Jiao Tong University, Shanghai, China.

General Psychiatry
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PubMed
Summary
This summary is machine-generated.

Speech corpora are vital for mental disorder research, offering richer data than text. Current databases primarily focus on neurocognitive disorders, with limited data for conditions like bipolar disorder, anxiety, depression, and autism.

Keywords:
mental disorderreviewspeech databasesystematic

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Area of Science:

  • Psycholinguistics
  • Clinical Psychology
  • Computational Linguistics

Background:

  • Clinical databases are crucial for mental disorder diagnosis and treatment.
  • Speech corpora capture nuanced emotional and prosodic signals beyond textual content.
  • Developing specialized speech corpora for mental health is increasingly vital.

Approach:

  • A comprehensive review of global speech corpora for mental disorders was conducted.
  • Publications and resources were systematically extracted from online databases and peer-reviewed journals.
  • A comparative analysis was performed between Chinese and non-Chinese regions.

Key Points:

  • Most existing speech databases are from Europe and the US, often including multimodal data (audio, video, brain imaging, ERPs).
  • Corpora predominantly target neurocognitive disorders (e.g., stutter, aphasia) and dementia, with a scarcity for conditions like bipolar disorder, anxiety, depression, and autism.
  • Chinese database development for neurocognitive disorders lags behind European countries, yet offers valuable insights.

Conclusions:

  • Existing speech corpora provide a foundation for advancing mental disorder research.
  • Leading countries' methodologies and applications offer guidance for developing comprehensive clinical study resources.
  • Further development is needed to expand speech corpora for a wider range of mental health conditions.