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Respiratory depth measures the volume of air inhaled or exhaled during a breath. It can vary from shallow to deep and typically remains consistent when a person is at rest or asleep. Occasionally, individuals will automatically inhale deeply, known as sighing, which inflates the lungs with more air than normal breathing.
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Auscultation is a crucial component of the physical assessment of the respiratory tract. It offers valuable insights into airflow through the bronchial tree and potential lung obstructions. This process involves careful listening to breath, voice, and adventitious sounds, which can reveal a wealth of information about a patient's respiratory health.
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Non-verbal communication extends beyond gestures and facial expressions to include vocal elements known as paralanguage. Paralanguage consists of non-verbal vocal cues such as pitch, loudness, speech rate, pauses, and non-verbal vocalizations like laughter, sighs, and moans. These elements not only accompany speech but also provide critical emotional and contextual information.The Role of Paralanguage in CommunicationParalanguage adds depth to spoken language by conveying emotions and...
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Related Experiment Video

Updated: Jan 8, 2026

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
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Consensus-Based Definitions for Vocal Biomarkers: The International VOCAL Initiative.

Megane Pizzimenti, Ayush Kalia, Jamie A Toghranegar

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    Summary
    This summary is machine-generated.

    Standardized definitions for vocal biomarkers were developed through international consensus. This framework enhances interdisciplinary collaboration and advances voice-based health technologies for clinical use.

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    Area of Science:

    • Biomedical Informatics
    • Speech and Language Sciences
    • Digital Health

    Background:

    • Voice-based health technologies are rapidly advancing.
    • Lack of standardized terminology hinders research and clinical translation.
    • Need for a consensus-based framework for vocal biomarkers.

    Purpose of the Study:

    • To develop universally accepted definitions for vocal biomarkers.
    • Establish standards and guidelines through the VOCAL initiative.
    • Facilitate interdisciplinary collaboration in vocal biomarker research.

    Main Methods:

    • International, multi-stage consensus-building study (VOCAL initiative).
    • Collaboration between North American (Bridge2AI-Voice) and European (eVoiceNet) networks.
    • Iterative review process with 24 international experts, culminating in a workshop.

    Main Results:

    • Established a hierarchical continuum model of vocal biomarkers.
    • Defined terms from broad concepts (biomarker, digital biomarker, vocal biomarker) to specific domains.
    • Included cardio-respiratory acoustic, voice, speech/articulatory, and cognitive/language measures.

    Conclusions:

    • Provides a shared vocabulary essential for interdisciplinary communication.
    • Improves research quality, efficiency, and ethical deployment of voice technologies.
    • Lays groundwork for guidelines and standards for clinical utility of vocal biomarkers.