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34 Hours - Hindi(India) Children Real-world Casual Conversation and Monologue speech dataset

Hindi
Casual Conversation
Monologue
Asr
Children

Hindi(India) 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.rnQuality 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
India(IND)
Language(Region) Code
hi-IN
Language
Hindi
Features of annotation
Transcription text, timestamp, speaker ID, gender, noise
Accuracy
Word Accuracy Rate (WAR) 98%
Sample Sample
  • Audio

    क्या? अभी तक चिट इधर ही है? [N]

  • Audio

    दीदी। [N]

  • Audio

    हाँ वेरो, तू टेंशन मत ले। अरे, कहाँ गई? [N]

  • Audio

    हाँ। तू टेंशन मत ले क्योंकि कल सुबह तक ना तेरको एक बहुत बड़ा गिफ़्ट मिल जाएगा। [N]

  • Audio

    [OVERLAP/] दीदी। [/OVERLAP] [N]

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