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149 Hours - English(the United Kindom) Children Real-world Casual Conversation and Monologue speech dataset

Spontaneous
Speech
text annotation
British English

English(United Kindom) Children Real-world Casual Conversation and Monologue speech dataset, covers self-media, conversation, live, lecture, variety show and other generic domains, mirrors real-world interactions. Transcribed with text content, speaker's ID, gender, age, accent and other attributes. Our dataset was collected from extensive and diversify speakers(12 years old and younger children), geographicly speaking, enhancing model performance in real and complex tasks.Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

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SpecificationsSpecifications
Format
16kHz, 16 bit, wav, mono channel
Age
12 years old and younger children
Content category
including interview, self-meida,variety show, etc.
Recording environment
Low background noise
Country
the United Kindom(GBR)
Language(Region) Code
en-GB
Language
English
Features of annotation
Transcription text, timestamp, speaker ID, gender, noise
Accuracy
Word Accuracy Rate (WAR) 98%
Sample Sample
  • Audio

    No, this is my first time.

  • Audio

    Yeah.

  • Audio

    [OVERLAP/] Yeah [/OVERLAP] , it's just pretty [OVERLAP/] good, yeah [/OVERLAP] .

  • Audio

    Well, we've got um. We've got like other horses that aren't mine. [N]

  • Audio

    Yeah no they're not livery, they are and my step-dad is um a horse whisperer. [N]

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