Kannada Spontaneous IVR Dataset

Named Entity Recognition
Speech
Audio
Spontaneous IVR
Kannada

Our new Kannada Spontaneous IVR Dataset features 118 hours of speech data it's aimed at improving AI's interaction with customers in the Kannada-speaking world. This dataset supports developers in enhancing voice recognition systems, IVR solutions, and AI-driven customer service applications by providing diverse examples from banking, insurance, retail, and telecommunications sectors through spontaneous IVR interactions.

Amount

118 Hours

Field

Named Entity Recognition

Region

Kannada (India)

Clarity

8kHz, 16 bit, WAV format

Leverage this dataset to:

  • Refine AI-powered customer service solutions with nuanced voice recognition.
  • Train more responsive and understanding IVR systems.
  • Enhance natural language processing models for Kannada Regional Coverage.
  • Improve user experience in automated telephony systems across various sectors.

This dataset is ideal for

  • AI developers in fintech, insurance, retail, and telecom industries.
  • Voice recognition software companies focusing on Kannada language.
  • Customer service technology providers seeking to upgrade IVR systems.
  • NLP researchers working on dialectal Kannada.

Technical Specifications

  • Total Hours: 118 hours of interactive voice response data
  • Regional Coverage: Kannada
  • Domains: Named Entity Recognition
  • Recording Quality: Telephony recordings saved in 8kHz 16 bit WAV format.
  • Environment: Mix of noisy and silent, simulating real-life conditions.
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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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