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Commercial
British English Speech Recognition Dataset
The dataset consists of 10+ hours of high-quality telephone dialogues from 20+ native speakers in the UK, with detailed annotations (ID, language, format, minutes) to support speech recognition systems, NLP tasks, and machine learning models requiring diverse British English audio datasets.
-
- Speakers
- 20+
-
- Hours
- 10+
- NLP
- LLM
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
- NLP
- LLM
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
The dataset consists of 10+ hours of high-quality telephone dialogues from 20+ native speakers in the UK, with detailed annotations (ID, language, format, minutes) to support speech recognition systems, NLP tasks, and machine learning models requiring diverse British English audio datasets.
- NLP
- LLM
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
-
- Speakers
- 20+
-
- Hours
- 10+
Dataset Info
| Characteristic | Data |
| Description | Audio of telephone dialogues in English for training NLP models in real-world conversational scenarios. |
| Data types | Audio |
| Tasks | Speech recognition, NLP |
| Country | The United Kingdom (GBK) |
| Hours of telephone dialogue | 10 |
| Number of speakers | 20 |
| Labeling | Annotation (ID, Language, Format, Minutes) |
| Recording device | Android smartphone, iPhone |
Technical
Characteristics
| Characteristic | Data |
| Audio Format | WAV, M4A, MP3 |
| Recording condition | Low background noise (indoor) |
| Duration | Mean =11 min |
Dataset Use Cases
FAQs
What types of annotations are provided?
This dataset includes transcribed dialogues with metadata such as ID, language, format, minutes.
What are the sources of data for Unidata datasets?
Unidata datasets are created through controlled data collection and trusted partnerships. The dataset was recorded by native speakers on smartphones in indoor conditions with low background noise, ensuring high-quality speech signals.
Is it possible to request a custom dataset?
Yes, Unidata offers custom speech datasets tailored to specific needs. You may request additional English accents, speech samples, or recording conditions to train more accurate speech recognition systems or fine-tuned language models.
Do Unidata datasets follow GDPR or other data privacy regulations?
Yes. Unidata datasets are curated in full compliance with GDPR and international data protection standards. All audio recordings were collected from lawful sources to ensure ethical and responsible data usage.
How are Unidata datasets stored?
All Unidata datasets are securely stored on AWS cloud infrastructure. With ISO 27001 and ISO 27701 certifications, Unidata ensures compliance with international standards for information security and privacy, providing a safe and reliable environment for managing data.
How long does it take to receive the dataset?
Once a request is submitted, Unidata will review the details and finalize the documentation. After the contract is signed and payment is made, a dataset is typically delivered within 3-10 business days.
Is the dataset real-world or synthetic?
This dataset contains real-world audio recordings. It comprises authentic British English telephone dialogues, ensuring natural speech samples for machine learning, NLP tasks, and recognition technology.
How can this dataset help improve voice assistants and conversational AI?
The dataset provides realistic spoken language examples that help AI models recognize everyday British English conversations. It can support the development of voice assistants, transcription services, and dialogue systems that deliver more accurate user interactions.
Still have questions about using Unidata datasets?
Read our user-guides
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