# physionet b2ai-voice 1.1 d4d

Datasheet for Dataset - Human Readable Format

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## Motivation

Why was the dataset created?

Purposes

Response
  To create an ethically sourced flagship dataset to enable future research in artificial intelligence and support critical insights into the use of voice as a biomarker of health

Funding

Grantor
  Name
    National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Grant
  Name
    Bridge2AI: Voice as a Biomarker of Health
  Grant Number
    3OT2OD032720-01S1

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## Composition

What do the instances represent?

Instances

Representation
  Voice recordings and derived data
Data Type
  Derived features including spectrograms, MFCCs, acoustic features, and phonetic/prosodic features
Counts
  12,523

Subpopulations

Identification
  Five main cohort categories: - Voice Disorders - Neurological and Neurodegenerative Disorders - Mood and Psychiatric Disorders - Respiratory disorders - Pediatric Voice and Speech Disorders

Distribution Formats

Description
  Files provided: - spectrograms.parquet - mfcc.parquet - phenotype.tsv - phenotype.json - static_features.tsv - static_features.json

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## Collection Process

How was the data acquired?

ID *
b2ai-voice-1.1
Name
Bridge2AI-Voice
Title
Bridge2AI-Voice: An ethically-sourced, diverse voice dataset linked to health information
Description
A comprehensive collection of data derived from voice recordings with corresponding clinical information. Contains 12,523 recordings from 306 participants collected across five sites in North America. Participants were selected based on known conditions which manifest within the voice waveform including voice disorders, neurological disorders, mood disorders, and respiratory disorders.
Creators

Role | Name | ORCID | Affiliation
--- | --- | --- | ---
Principal Investigator | Alistair Johnson | - | -
Principal Investigator | Jean-Christophe Bélisle-Pipon | - | -
Principal Investigator | David Dorr | - | -
Principal Investigator | Satrajit Ghosh | - | -
Principal Investigator | Philip Payne | - | -
Principal Investigator | Maria Powell | - | -
Principal Investigator | Anais Rameau | - | -
Principal Investigator | Vardit Ravitsky | - | -
Principal Investigator | Alexandros Sigaras | - | -
Principal Investigator | Olivier Elemento | - | -
Principal Investigator | Yael Bensoussan | - | -

Issued
2025-01-17
Collection Mechanisms

Description
  Data collected using custom tablet application with headset in specialty clinics

Preprocessing Strategies

Description
  - Audio converted to monaural and resampled to 16 kHz - Butterworth anti-aliasing filter applied - Spectrograms computed using short-time FFT - 60 MFCCs extracted - Acoustic features extracted using OpenSMILE - Phonetic/prosodic features computed using Parselmouth and Praat - Transcriptions generated using OpenAI Whisper

Ethical Reviews

Description
  Data collection and sharing approved by University of South Florida Institutional Review Board

Maintainers

Description
  MIT Laboratory for Computational Physiology

Is Deidentified

Description
  De-identification steps: - HIPAA Safe Harbor identifiers removed - State/province removed - Transcripts of free speech removed - Raw audio waveforms omitted from initial release

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## Uses

What (other) tasks could the dataset be used for?

License And Use Terms

Description
  Bridge2AI Voice Registered Access License

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## Distribution

How will the dataset be distributed?

DOI
10.13026/249v-w155
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## Maintenance

How will the dataset be maintained?

Version
1.1
Generated on 2025-11-09 10:17:35 using Bridge2AI Data Sheets Schema