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Home > All Category Datasets > Speech Recognition Datasets > Korean Financial Speech Dataset – 215 Hours of Real-World Audio

Korean Financial Speech Dataset – 215 Hours of Real-World Audio

Korean financial speech dataset
Korean ASR dataset
economics audio corpus
financial audio dataset
Korean business voice data
macroeconomic speech dataset
finance chatbot training data
domain-specific speech dataset
Korean language audio for AI

This Korean Financial Speech Dataset contains 215 hours of real-world audio, including casual conversations and monologues. The content spans professional financial terminology in macroeconomics and microeconomics contexts, simulating authentic banking and financial service interactions. Each recording includes transcriptions, speaker metadata (ID, gender), and tagged financial entities. The dataset supports a wide range of AI applications such as automatic speech recognition (ASR), financial natural language understanding (NLU), voicebot development, and domain-specific language modeling. All data complies with GDPR, CCPA, and PIPL regulations, ensuring privacy and ethical usage.

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SpecificationsSpecifications
Format
16k Hz, 16 bit, wav, mono channel
Content category
Covering various financial professional terminologies, primarily focuses on macroeconomics(market trends, financial policies, etc.), microeconomics(individual enterprises, stocks, investment portfolios, 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%
Sample Sample
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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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