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Korean Medical Speech Dataset – 203 Hours of Clinical Conversations
Korean medical speech dataset
healthcare audio data
medical voice dataset
Korean clinical conversation dataset
domain-specific ASR
medical transcription Korean
doctor-patient audio Korean
medical chatbot dataset
This Korean Medical Speech Dataset contains 203 hours of real-world audio including casual conversations and monologues. It spans a wide range of healthcare-related content such as medical consultations, academic lectures, training sessions, and clinical discussions. The dataset includes detailed annotations: transcripts, speaker ID, gender, and tagged medical entities. Designed for use in ASR, medical NLU, speech-based healthcare assistants, and AI model fine-tuning for domain-specific speech recognition. The recordings were collected from a geographically diverse speaker base and validated by multiple AI companies. All data complies with GDPR, CCPA, and PIPL regulations.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Format
16k Hz, 16 bit, wav, mono channel
Content category
Covering various medical professional terminologies (such as diagnoses, medicines, etc.), primarily focuses on medical consultation, medical education, medical academic conferences and lectures, etc.
Recording condition
Low background noise
Country
Korea(KOR)
Language(Region) Code
ko-KR
Language
Korean
Features of annotation
transcription text, timestamp, speaker identification, gender, noise, PII redacted, entities, letter case
Accuracy
Word Accuracy Rate (WAR) at least 98%(Tags, entities are not included in accuracy statistics due to subjectivity)