| # Medical Speech Dataset |
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| **A specialized speech dataset for healthcare AI applications featuring real medical terminology, clinical conversations, and domain-specific vocabulary.** |
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| This dataset is curated from the [complete-voiceai-speech-dataset](https://huggingface.co/datasets/SilencioNetwork/complete-voiceai-speech-dataset) and focuses specifically on medical domain speech data collected from real healthcare contexts. |
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| ## Dataset Overview |
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| - **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) |
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| ## Target Applications |
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| This dataset is designed for: |
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| - **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** |
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| ## Dataset Structure |
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| ``` |
| 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 |
| ``` |
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| ## Data Splits |
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| ### 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 |
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| ### Global Medical (Multilingual) |
| - **Files**: 25 recordings |
| - **Context**: Medical speech from diverse linguistic backgrounds |
| - **Use case**: Accent-robust medical ASR, global telehealth applications |
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| ## Key Features |
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| ✅ **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 |
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| ## Use Cases |
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| ### 1. Ambient Clinical Documentation |
| Train models to transcribe doctor-patient conversations in real-time (similar to Abridge, Suki, Nabla). |
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| ### 2. Medical Dictation Systems |
| Improve accuracy for physicians dictating clinical notes, discharge summaries, and prescriptions. |
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| ### 3. Telehealth Transcription |
| Build ASR systems for virtual healthcare consultations across diverse accents and languages. |
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| ### 4. Medical Voice Assistants |
| Develop voice-enabled healthcare tools for symptom checking, medication reminders, and patient education. |
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| ### 5. Clinical Research |
| Analyze speech patterns in medical contexts, study communication dynamics between providers and patients. |
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| ## Loading the Dataset |
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| ```python |
| from datasets import load_dataset |
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| # Load full dataset |
| dataset = load_dataset("SilencioNetwork/medical-speech-dataset") |
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| # 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") |
| ``` |
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| ## Sample Metadata |
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| 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) |
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| ## Medical Speech Characteristics |
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| 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 |
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| ## Ethical Considerations |
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| 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. |
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| ## Need More Medical Speech Data? |
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| This is a sample dataset from Silencio's larger Off-the-Shelf (OTS) medical speech inventory: |
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| 📊 **Available in full inventory:** |
| - 300+ hours of medical domain speech |
| - 15+ languages |
| - Specialized domains: cardiology, radiology, surgery, pharmacy, etc. |
| - Provider + patient perspectives |
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| **Contact us for access**: [alex@silencioai.com](mailto:alex@silencioai.com) |
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| ## Citation |
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| If you use this dataset in your research or commercial product, please cite: |
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| ```bibtex |
| @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} |
| } |
| ``` |
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| ## Related Datasets |
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| - [Complete Voice AI Speech Dataset](https://huggingface.co/datasets/SilencioNetwork/complete-voiceai-speech-dataset) - 39 language/accent variants |
| - [Indian Languages Speech](https://huggingface.co/datasets/SilencioNetwork/indian-languages-speech) - 9 Indian languages |
| - [European Languages Speech](https://huggingface.co/datasets/SilencioNetwork/european-languages-speech) - 5 European languages |
| - [Global English Accents Speech](https://huggingface.co/datasets/SilencioNetwork/global-english-accents-speech) - 20 English accent variants |
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| ## License |
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| **CC BY-NC 4.0** (Creative Commons Attribution-NonCommercial 4.0 International) |
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| ✅ Free for research and non-commercial use |
| ❌ Commercial use requires licensing (contact us) |
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| ## About Silencio |
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| 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. |
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| 🌐 [silenciai.com](https://silencioai.com) |
| 📧 [sofia@silencioai.com](mailto:sofia@silencioai.com) |
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| --- |
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| **Tags**: medical speech, healthcare AI, clinical documentation, medical ASR, medical dictation, ambient scribe, domain-specific speech, medical terminology, healthcare NLP, voice health |
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