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128 Hours - English(Australia) Children Real-world Casual Conversation and Monologue speech dataset

Australian English
Spontaneous
Speech
text annotation

English(Australia) 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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This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
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
Australia(AU)
Language(Region) Code
en-AU
Language
English
Features of annotation
Transcription text, timestamp, speaker ID, gender, noise
Accuracy
Word Accuracy Rate (WAR) 98%
Sample Sample
  • Audio

    Um, um![N]

  • Audio

    I'm gonna be going downs stairs.[N]

  • Audio

    I'm gonna go ride a motorbike.[N]

  • Audio

    Oh![N]

  • Audio

    With this motorbike.[N]

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