Medical Conversations Dataset (English)
It is a large-scale medical conversation dataset with 1,760 hours of audio recordings, featuring audio of medical calls (inbound/outbound), including med device promo, medical dictation, product orders, and patient-doctor conversations, all paired with structured transcripts. This medical speech dataset includes MP3 and WAV formats with JSON and DOCX transcriptions, providing high-quality annotated data for speech recognition, language models, and healthcare AI applications.
-
- Hours
- 1760
- Speech
- Machine Learning
- Audio Processing
- Conversation Analysis
- Medical Audio
It is a large-scale medical conversation dataset with 1,760 hours of audio recordings, featuring audio of medical calls (inbound/outbound), including med device promo, medical dictation, product orders, and patient-doctor conversations, all paired with structured transcripts. This medical speech dataset includes MP3 and WAV formats with JSON and DOCX transcriptions, providing high-quality annotated data for speech recognition, language models, and healthcare AI applications.
- Speech
- Machine Learning
- Audio Processing
- Conversation Analysis
- Medical Audio
-
- Hours
- 1760
Dataset Info
| Characteristic | Data |
| Description | Audio of medical calls (inbound/outbound), including med device promo, medical dictation, product orders, and patient-doctor conversations, with JSON transcripts |
| Data types | Audio |
| Tasks | Speech Recognition, Audio Classification |
| Hours of audio | 1760 |
| Language | English |
| Call type | Med Device Promo call, Medical Dictation, Order Product, Pat-doc conversation |
| Labeling | Metadata (id, start time, end time, transcription) |
Technical
Characteristics
| Characteristic | Data |
| Audio Format | MP3, WAV |
| Transcription format | Json, docx |
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