Korean Media Audio Dataset

Project Overview:

Objective

Our primary objective was to create a comprehensive audio dataset, the Korean Media Audio, that captures the nuances of spoken Korean, particularly in healthcare contexts. This dataset aims to enhance the accuracy and responsiveness of AI-driven applications in healthcare, from patient interaction systems to diagnostic and treatment recommendation engines.

Scope

Collection of over 10,000 hours of Korean audio content. Annotation of audio files with precise transcriptions, sentiment analysis, and contextual tagging. Quality assurance processes to ensure data accuracy and usability in AI applications.

Korean Media Audio Dataset
Korean Media Audio Dataset
Korean Media Audio Dataset
Korean Media Audio Dataset

Sources

  • Audio sources were meticulously chosen to cover a broad spectrum of spoken Korean:
  • News broadcasts covering health-related topics.
  • Medical podcasts and interviews with healthcare professionals.
  • Conversational dialogues in clinical and casual settings.
Korean Media Audio Dataset
Korean Media Audio Dataset

Data Collection Metrics

  • Total Audio Clips Collected: 15,000
  • Total Duration: 10,000 hours
  • Categories: News (40%), Interviews (30%), Conversational Exchanges (30%)

Annotation Process

Stages

  1. Transcription: Verbatim transcription of spoken content.
  2. Sentiment Analysis: Categorization of clips according to emotional tone.
  3. Contextual Tagging: Tagging clips with relevant healthcare topics and conversational contexts.

Annotation Metrics

  • Clips Annotated: 15,000
  • Average Annotation Time per Clip: 5 minutes
  • Total Annotation Hours: 1,250 hours
Korean Media Audio Dataset
Korean Media Audio Dataset
Korean Media Audio Dataset
Korean Media Audio Dataset

Quality Assurance

Stages

  • Accuracy of Transcription: 98%
  • Consistency in Sentiment Analysis: 95%
  • Correctness in Contextual Tagging: 97%

QA Metrics

  • Total Validation Cases: 5,000
  • Annotation Accuracy Validation: Success rate of 98% for transcription accuracy
  • Sentiment Analysis Consistency: 95% consistency across different reviewers

Conclusion

The “Korean Media Audio Dataset” stands as a testament to our commitment to high-quality data collection and annotation for AI development. With its diverse content, meticulous annotation, and stringent quality control, this dataset is an invaluable asset for anyone looking to build or enhance AI systems that interact with Korean media content.

quality dataset

Quality Data Creation

Guaranteed TAT​

Guaranteed TAT

ISO 9001:2015, ISO/IEC 27001:2013 Certified​

ISO 9001:2015, ISO/IEC 27001:2013 Certified

HIPAA Compliance​

HIPAA Compliance

GDPR Compliance​

GDPR Compliance

Compliance and Security​

Compliance and Security

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