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Home > All Category Datasets > Speech Recognition Datasets > Korean Medical Speech Dataset – 203 Hours of Clinical Conversations

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.

Paid Datasets
This is a paid dataset licensed for commercial use. Ready-made datasets are available for immediate integration into AI projects.
SpecificationsSpecifications
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)
Sample Sample
  • Audio

    [OVERLAP/]아직[/OVERLAP] 회복이 안 된 상태가 됩니다.[N]

  • Audio

    어깨가 아픈 이유는 정말 다양하다고요.

  • Audio

    [OVERLAP/]어깨[/OVERLAP] 관절근 사진인데

  • Audio

    붙어는 있지만 요렇게 이제 비 가역적[N]

  • Audio

    허리, 척추 그다음에 무릎관들 다음으로

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Dataset FAQs

What languages and scenarios are covered by Nexdata’s speech recognition datasets?

Nexdata offers speech recognition datasets covering a broad range of languages, dialects, and accents, backed by extensive global language resources. Our datasets include diverse speakers, acoustic environments, and real-world speech scenarios, supporting multilingual ASR, voice assistants, conversational AI, speech-to-text, and other speech-enabled applications.

Can Nexdata customize speech recognition datasets for specific languages or requirements?

Yes. If our off-the-shelf datasets do not fully meet your requirements, Nexdata provides flexible custom data collection, transcription, and annotation services. We can customize datasets based on target languages or dialects, speaker profiles, recording environments, speech scenarios, data volume, and annotation specifications to meet specific ASR development needs.

How does Nexdata ensure the quality and scalability of speech recognition datasets?

Nexdata applies multi-stage quality control throughout speech data collection, transcription, annotation, and validation. Combined with our extensive language resources and scalable collection capabilities, we can support both large-scale multilingual projects and specialized datasets for specific languages, dialects, accents, and speech scenarios.

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