Datasets:

SilencioNetwork
/

medical-speech-dataset

license: cc-by-nc-4.0
language:
  - en
  - es
  - de
task_categories:
  - automatic-speech-recognition
  - text-to-speech
tags:
  - medical-speech
  - healthcare-ai
  - clinical-documentation
  - voice-ai
  - speech-data
  - asr
pretty_name: Medical Speech Dataset
dataset_info:
  features:
    - name: file_name
      dtype: string
    - name: id
      dtype: int64
    - name: gender
      dtype: string
    - name: ethnicity
      dtype: string
    - name: occupation
      dtype: string
    - name: birth_place
      dtype: string
    - name: mother_tongue
      dtype: string
    - name: dialect
      dtype: string
    - name: year_of_birth
      dtype: int64
    - name: years_at_birth_place
      dtype: int64
    - name: languages_data
      dtype: string
    - name: os
      dtype: string
    - name: device
      dtype: string
    - name: browser
      dtype: string
    - name: duration
      dtype: float64
    - name: emotions
      dtype: string
    - name: language
      dtype: string
    - name: location
      dtype: string
    - name: noise_sources
      dtype: string
    - name: script_id
      dtype: int64
    - name: type_of_script
      dtype: string
    - name: script
      dtype: string
    - name: transcript
      dtype: string
    - name: speaker_id
      dtype: string
configs:
  - config_name: english_medical
    data_files:
      - split: medical
        path: english_medical/medical/**
  - config_name: global_medical
    data_files:
      - split: medical
        path: global_medical/medical/**
size_categories:
  - n<1K

Medical Speech Dataset

A specialized speech dataset for healthcare AI applications featuring real medical terminology, clinical conversations, and domain-specific vocabulary.

This dataset is curated from the complete-voiceai-speech-dataset and focuses specifically on medical domain speech data collected from real healthcare contexts.

Dataset Overview

Total audio files: 33 recordings
Total duration: ~42 minutes
Languages: English (native) + Global Medical (multilingual)
Domain: Medical terminology, clinical documentation, patient-provider conversations
Audio format: WAV files
Sample rate: 48 kHz
License: CC BY-NC 4.0 (free for research, non-commercial use)

Target Applications

This dataset is designed for:

Medical ASR systems (ambient clinical documentation, medical dictation)
Healthcare AI assistants (Abridge, Suki, Nabla, Ambience Healthcare)
Medical voice note transcription
Clinical conversation analysis
Medical terminology recognition models
Healthcare dialogue systems

Dataset Structure

medical-speech-dataset/
├── english_medical/
│   └── medical/
│       ├── data/           # 8 audio files
│       └── metadata.csv    # Speaker metadata
└── global_medical/
    └── medical/
        ├── data/           # 25 audio files
        └── metadata.csv    # Speaker metadata

Data Splits

English Medical (Native Speakers)

Files: 8 recordings
Context: Native English speakers discussing medical topics
Use case: High-accuracy medical ASR training, US/UK clinical documentation

Global Medical (Multilingual)

Files: 25 recordings
Context: Medical speech from diverse linguistic backgrounds
Use case: Accent-robust medical ASR, global telehealth applications

Key Features

✅ Real medical terminology - Conditions, medications, procedures, anatomical terms
✅ Natural speech patterns - Disfluencies, hesitations, clinical conversation flow
✅ Diverse accents - Global medical professionals and patients
✅ Domain-specific vocabulary - Not available in general speech datasets
✅ Ethical data collection - Consent-based, privacy-preserving

Use Cases

1. Ambient Clinical Documentation

Train models to transcribe doctor-patient conversations in real-time (similar to Abridge, Suki, Nabla).

2. Medical Dictation Systems

Improve accuracy for physicians dictating clinical notes, discharge summaries, and prescriptions.

3. Telehealth Transcription

Build ASR systems for virtual healthcare consultations across diverse accents and languages.

4. Medical Voice Assistants

Develop voice-enabled healthcare tools for symptom checking, medication reminders, and patient education.

5. Clinical Research

Analyze speech patterns in medical contexts, study communication dynamics between providers and patients.

Loading the Dataset

from datasets import load_dataset

# Load full dataset
dataset = load_dataset("SilencioNetwork/medical-speech-dataset")

# Load specific split
english_medical = load_dataset("SilencioNetwork/medical-speech-dataset", data_dir="english_medical")
global_medical = load_dataset("SilencioNetwork/medical-speech-dataset", data_dir="global_medical")

Sample Metadata

Each recording includes:

file_name: Audio file identifier
birth_place: Speaker's country/region of origin
language: Primary language spoken
context: Medical (clinical terminology, healthcare conversations)

Medical Speech Characteristics

This dataset captures real-world medical speech features:

Medical jargon: "hypertension", "myocardial infarction", "differential diagnosis"
Clinical abbreviations: Spoken medical shorthand (BP, HR, PRN, etc.)
Provider-patient dynamics: Turn-taking, clarification requests, empathy markers
Multilingual medical contexts: Healthcare delivery across linguistic boundaries

Ethical Considerations

All data was collected with explicit informed consent. No protected health information (PHI) is included - all recordings contain general medical terminology only, not patient-specific data.

Need More Medical Speech Data?

This is a sample dataset from Silencio's larger Off-the-Shelf (OTS) medical speech inventory:

📊 Available in full inventory:

300+ hours of medical domain speech
15+ languages
Specialized domains: cardiology, radiology, surgery, pharmacy, etc.
Provider + patient perspectives

Contact us for access: alex@silencioai.com

Citation

If you use this dataset in your research or commercial product, please cite:

@dataset{silencio_medical_speech_2026,
  title={Medical Speech Dataset},
  author={Silencio Network},
  year={2026},
  publisher={HuggingFace},
  url={https://huggingface.co/datasets/SilencioNetwork/medical-speech-dataset}
}

Related Datasets

Complete Voice AI Speech Dataset - 39 language/accent variants
Indian Languages Speech - 9 Indian languages
European Languages Speech - 5 European languages
Global English Accents Speech - 20 English accent variants

License

CC BY-NC 4.0 (Creative Commons Attribution-NonCommercial 4.0 International)

✅ Free for research and non-commercial use
❌ Commercial use requires licensing (contact us)

About Silencio

Silencio is a voice AI data sourcing company with 2M+ contributors across 180+ countries. We provide scaled sourcing of real-world audio and speech data for AI labs, robotics companies, and healthcare AI developers.

🌐 silenciai.com
📧 sofia@silencioai.com

Tags: medical speech, healthcare AI, clinical documentation, medical ASR, medical dictation, ambient scribe, domain-specific speech, medical terminology, healthcare NLP, voice health