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Home > All Category Datasets > Speech Recognition Datasets > 743 Hours - UK English Spontaneous Dialogue Speech Dataset (Smartphone Recorded)

743 Hours - UK English Spontaneous Dialogue Speech Dataset (Smartphone Recorded)

UK English speech dataset
spontaneous dialogue audio
smartphone speech recording
British English ASR dataset
English voice training data
UK accent speech
real-world speech corpus
multi-speaker UK English dataset

This dataset contains 200 hours of spontaneous UK English dialogue recorded using smartphones. Collected from approximately 500 native British English speakers across various regions, the dataset reflects real-world acoustic diversity. Each audio segment is accompanied by detailed annotations, including transcription, timestamp, speaker ID, gender, and more. Ideal for applications in automatic speech recognition (ASR), speech synthesis (TTS), speaker diarization, and natural language understanding (NLU), the dataset has been validated by leading AI companies. All data complies with global privacy regulations such as GDPR, CCPA, and PIPL.

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SpecificationsSpecifications
Format
16kHz, 16bit, uncompressed wav, mono channel
Content category
Dialogue based on given topics
Recording condition
Low background noise (indoor)
Recording device
Android smartphone, iPhone
Country
The United Kingdom(GBK)
Language(Region) Code
en-GB
Language
English
Speaker
944 native speakers in total
Features of annotation
Transcription text, timestamp, speaker ID, gender, noise
Accuracy rate
Sentence accuracy rate(SAR) 95%
Sample Sample
  • Audio

    It's a lot about the nature and the power of [OVERLAP/]nature. [/OVERLAP].

  • Audio

    Ah, yeah. The [OVERLAP/]black beach. Yeah. [/OVERLAP]yeah.[OVERLAP/] it's also[/OVERLAP] yeah call there's.[N]

  • Audio

    It's power of nature.

  • Audio

    When you have the time, do it. [OVERLAP/]because[/OVERLAP] it's you know, it's.[N]

  • Audio

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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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