English Scripted Monologue Dataset

English
Audio
Automatic Speech Recognition
Eliminate bias (age, gender, accent)
Banking
Insurance
Retail
Telco
Technology
Emotion Recognition
Telco Finance
Global Affairs

Explore our English Scripted Monologue Dataset, which offers 988 hours of carefully recorded speech data. Covering insurance, retail, telecommunications, and banking, this dataset is voiced by native speakers from the UK, the US, and Australia.

47_English - UK & Australia Scripted Monologue.jpg

Amount

988 Hours

Field

Banking, Insurance, Retail, Telco, Generic

Region

UK, US, Australia

Clarity

16kHz, 16 bit, recorded on-device

Leverage this dataset to:

  • Refine your speech recognition capabilities, ensuring they can accurately interpret and process spoken English across various contexts.
  • Incorporate a wide range of English accents into your technology, enhancing its ability to understand users from different geographical and cultural backgrounds.
  • Leverage dialogues tailored to specific industries to improve the relevance and performance of your AI applications in sectors such as banking, insurance, and retail.
  • Improve the overall accuracy and adaptability of your AI tools, from customer service bots to voice-enabled systems, ensuring they meet the diverse needs of users.

This dataset is ideal for

  • Speech Recognition Systems
  • Voice enabled Customer Service Solutions
  • Automated Transcription Services
  • AI Training and Machine Learning Models

Technical Specifications

  • Total Hours: 988 hours of English speech data.
  • Regional Coverage: Native speakers from the UK, the US, and Australia.
  • Domains: Banking, Insurance, Retail, Telecommunication, and Generic.
  • Recording Quality: Recorded on-device in high-quality 16kHz 16 bit
  • Dataset Includes: Audio recordings, scripts (prompts), speaker information, device details
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Tailored to Your Needs

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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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