Kannada Scripted Monologue Dataset

Automatic Speech Recognition
Audio
Generic
Kannada
Speech

Our Kannada Speech Data dataset contains 210 hours of authentic conversations recorded by native Kannada speakers. It is designed to represent a broad range of everyday scenarios through a generic, non-domain-specific. This dataset is aimed at enhancing AI's nuanced understanding and generative abilities, serving as a vital resource for innovation in Kannada-speaking markets.

Amount

210 Hours

Field

Generic

Region

Wide range of Danish accents

Clarity

16kHz, 16 bit

Leverage this dataset to:

  • Develop voice recognition systems that accurately capture Kannada nuances.
  • Train AI and NLP models for seamless Kannada language customer interactions.
  • Enhance conversational AI with realistic Kannada dialogue scenarios.
  • Improve speech-to-text conversion accuracy for Kannada across various domains.

This dataset is ideal for

  • Technology companies focusing on voice enabled systems in the Kannada market.
  • AI researchers and developers specializing in natural language processing.
  • Educational platforms aiming to provide immersive Kannada language learning.
  • Businesses looking to offer tailored customer service solutions in Kannada.

Technical Specifications

  • Total Hours: 210 hours of high-fidelity Kannada speech data.
  • Regional Coverage: Native Kannada, encompassing a wide range of accents and Regional Coverage.
  • Audio Quality: Recorded in high definition 16Khz 16 bit audio format.
  • Recording Devices: Varied, ensuring diversity in audio quality and settings.
  • Domains: Generic.
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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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