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50.5 Hours Children Speech Dataset (American English) – Scripted Monologue by Microphone

child english speech dataset
kids speech dataset
children speech dataset
american english speech dataset
american children speech dataset

This dataset contains 50.5 hours of American English speech from children, collected from monologue based on given prompts, covering children’s textbooks, story books, oral language, numbers, letters. Transcribed with text content. Our dataset was collected from extensive and diversify speakers(219 native speakers), 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
44.1kHz, 16bit, uncompressed wav, mono channel
Content category
children’s textbooks, story books, oral language, numbers, letters
Recording condition
Low background noise (indoor)
Recording device
Blueyeti Microphone
Country
America(USA)
Language(Region) Code
en-US
Language
American English
Speaker
219 American children,55% female and 45% male
Features of annotation
Transcription text
Device
Android mobile phone, iPhone
Accuracy rate
Word Accuracy Rate(WAR) 95%
Sample Sample
  • Audio

    happy to see

  • Audio

    have all agreed

  • Audio

    Rhode Island[[lipsmack]]

  • Audio

    The Peanut State

  • Audio

    She jumped rope

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What languages and scenarios are covered by Nexdata’s speech recognition datasets?

Nexdata offers speech recognition datasets covering a broad range of languages, dialects, and accents, backed by extensive global language resources. Our datasets include diverse speakers, acoustic environments, and real-world speech scenarios, supporting multilingual ASR, voice assistants, conversational AI, speech-to-text, and other speech-enabled applications.

Can Nexdata customize speech recognition datasets for specific languages or requirements?

Yes. If our off-the-shelf datasets do not fully meet your requirements, Nexdata provides flexible custom data collection, transcription, and annotation services. We can customize datasets based on target languages or dialects, speaker profiles, recording environments, speech scenarios, data volume, and annotation specifications to meet specific ASR development needs.

How does Nexdata ensure the quality and scalability of speech recognition datasets?

Nexdata applies multi-stage quality control throughout speech data collection, transcription, annotation, and validation. Combined with our extensive language resources and scalable collection capabilities, we can support both large-scale multilingual projects and specialized datasets for specific languages, dialects, accents, and speech scenarios.

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