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Home > All Category Datasets > Speech Recognition Datasets > 88 Hours UK Children Speech Dataset - Transcribed British English Conversations and Monologues

88 Hours UK Children Speech Dataset - Transcribed British English Conversations and Monologues

British English children speech dataset
British English child speech dataset
UK children speech dataset
children voice dataset
British English speech dataset

This dataset contains 88 hours of casual conversations and monologues that reflect natural interactions. The dataset includes text transcriptions, speaker IDs, gender, age, accent, and other attributes. The data was collected from a geographically diverse group of children aged 12 and under, supporting model development for real-world and complex speech-related tasks.The dataset has been quality tested by 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
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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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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