Czech Spontaneous Dialogue Dataset

Spontaneous Dialogue
Speech
NLP
Czech

Our Czech Speech Data dataset includes 451 hours of authentic dialogue recordings from the Czech market, covering sectors like Banking, Telecommunication, Insurance, and Retail. Designed for enhancing AI communication technologies, this collection, recorded by native speakers, provides insights into Czech conversational nuances. It's an essential resource for AI training and development efforts.

42_Czech - Czech Republic Spontaneous Dialogue.jpg

Amount

451 Hours

Field

Banking, Insurance, Retail, Telco

Region

Native Czech

Clarity

8kHz, 16 bit, WAV format

Leverage this dataset to:

  • Refine voice recognition systems with comprehensive Czech language data.
  • Train sophisticated AI models for enriched customer engagement in key industries.
  • Advance conversational AI platforms with real-world Czech speech patterns.
  • Elevate speech-to-text applications with domain-specific accuracy and relevance.

This dataset is ideal for

  • AI development companies targeting the Czech Republic or Czech-speaking users.
  • NLP researchers aiming to enrich their datasets for advanced AI language understanding and generation tasks.
  • EdTech firms crafting immersive Czech language learning experiences.
  • Enterprises aiming to automate customer services with nuanced language understanding.

Technical Specifications

  • Total Hours: 451 hours of native Czech speech recordings.
  • Regional Coverage: Arabic (with regional Regional Coverage from Egypt, Jordan, Yemen, and others) and English (Egypt).
  • Audio Quality: Telephony-quality audio saved in 8kHz 16-bit WAV format, ensuring clear and usable recordings.
  • Recording Environments: Both noisy and silent, simulating real-life interaction settings.
  • Domains: Banking, Insurance, Retail, Telecommunication

Metadata Distribution

Spontaneous_Czech_Age.png Spontaneous_Czech_Gender.png

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License Information

This dataset is covered by our standard Data license agreement. The license agreement is perpetual and allows for the commercialization of all models built on the data.

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