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831 Hours British English Voice Command Dataset for Smart Home, In-Car, and ASR Training

British English voice dataset
British English audio dataset
UK English speech dataset
British English ASR dataset
British English speech dataset

This dataset contains 831 hours of scripted monologue recordings collected from speakers reading assigned prompts. The content covers general topics, human-machine interaction, smart home commands, in-car commands, numbers, and other domains. Transcribed with text content and other attributes. The dataset includes text transcriptions and other attributes. It was collected from a geographically diverse group of 1,651 British speakers, supporting model development for real-world and complex speech-related 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, 16bit, uncompressed wav, mono channel;
Recording condition
Low background noise(indoor), without echo;
Content category
Generic domain; human-machine interaction; smart home command and control; in-car command and control; numbers
Recording device
Android Smartphone, iPhone;
Speaker
1,651 speakers totally, with 43% male and 57% female; and 51% speakers of all are in the age group of 13-25,41% speakers of all are in the age group of 26-45, 8% speakers of all are in the age group of 46-70;
Country
the United Kingdom(GBR);
Language(Region) Code
en-GB;
Language
English;
Features of annotation
Transcription text;
Accuracy Rate
Sentence Accuracy Rate (SAR) 95%
Sample Sample
  • Audio

    seventy-four thousand nine hundred sixty-nine

  • Audio

    can the smart camera be turned off?

  • Audio

    Start intelligent air conditioning mode

  • Audio

    I lied and I'm not sick either! Just stay behind the curtain!

  • Audio

    How is skilled at pronounced in American English?

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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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