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97 Hours - German(Germany) Children Real-world Casual Conversation and Monologue speech dataset

Spontaneous Speech
text annotation
German

German(Germany) 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
Germany(DEU)
Language(Region) Code
de-DE
Language
German
Features of annotation
Transcription text, timestamp, speaker ID, gender, noise
Accuracy
Word Accuracy Rate (WAR) 98%
Sample Sample
  • Audio

    Hallo, heute zeigen wir, was Elisa zu Weihnachten bekommen hat. [N]

  • Audio

    Genau du hast n Kaufmannsladen. [N]

  • Audio

    Aber wir haben, Kaufmannsladen. [N]

  • Audio

    Karotten und dann haben wir Topf [N]

  • Audio

    Wir haben Eis, Suppen und dann Bananen und [N]

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