---
title: "British English Speech Recognition Dataset"
description: "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…"
url: "https://unidata.pro/datasets/british-english-speech-recognition-dataset/"
date_modified: "2025-12-11T15:52:39+03:00"
language: "en-US"
---
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.

## Dataset Structure

### The Numbers Section

**Numbers list:**

- **Number:** 20+ — **Text:** Speakers
- **Number:** 10+ — **Text:** Hours

### Tooltip Section

**Tooltip items:**

- **Name:** NLP
- **Name:** LLM
- **Name:** Machine Learning
- **Name:** Audio Processing
- **Name:** ASR
- **Name:** Voice Recognition

### Dataset Info

**Table with data:**

| 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 |

**Media Slider:** - **Image in the slider:** ![](https://unidata.pro/wp-content/uploads/2025/02/eastern-man.webp)

**Link to the sample:** [Download sample](https://drive.google.com/drive/folders/1GLR0XDyG7VJUpIuF2EfhxBV0TSmt_mVn?usp=sharing)

### Technical  characteristics

**Table with data:**

| Characteristic | Data |
| --- | --- |
| Audio Format | WAV, M4A, MP3 |
| Recording condition | Low background noise (indoor) |
| Duration | Mean =11 min |

**Source and collection methodology:** Source and collection methodology: Data was collected via crowdsourcing platforms

### Dataset Use Cases - слайдер

**Industry Cards:**

- **Industry:** Call Centers & Customer Service — **Title:** Enhancing British Telephone Speech Recognition — **Text:** British English Speech Recognition Dataset includes authentic audio recordings from real conversations with different accents. It helps call centers train recognition systems to handle regional variations in spoken English. By using this speech corpus, companies improve transcription accuracy, automate responses, and deliver smoother customer experiences in the UK market.
- **Industry:** AI & Machine Learning Research — **Title:** Training Data for Speech Recognition Models — **Text:** This British speech dataset provides reliable training sets for machine learning and deep learning applications. The dataset consists of high-quality audio samples and transcriptions from native speakers. Researchers use it to build recognition technology capable of transcribing speech across different speech signals, achieving high accuracy in NLP tasks.
- **Industry:** Multilingual & Cross-Language Applications — **Title:** Supporting Natural Language Processing and Translation — **Text:** The dataset is essential for language models in multilingual speech projects. By combining speech samples with other languages, developers enhance language translation, speech synthesis, and recognition technology. Its speech databases provide diverse accents and voices, making it suitable for global natural language processing and NLP tasks.
- **Industry:** Commercial & Industrial Use — **Title:** Deploying Speech Technology in Real-World Scenarios — **Text:** Businesses use such datasets in commercial use cases such as smart assistants, transcription services, and speech intelligibility testing. Since the database contains diverse audio recordings and accents, it improves recognition systems’ performance, enabling more reliable speech recognition technology in everyday applications and enterprise solutions.

### Fact

**FAQs Heading:** FAQs

**List of Questions:**

- **Question:** What types of annotations are provided? — **Answer:** This dataset includes transcribed dialogues with metadata such as ID, language, format, minutes.
- **Question:** What are the sources of data for Unidata datasets? — **Answer:** 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.
- **Question:** Is it possible to request a custom dataset? — **Answer:** 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.
- **Question:** Do Unidata datasets follow GDPR or other data privacy regulations? — **Answer:** 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.
- **Question:** How are Unidata datasets stored? — **Answer:** 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.
- **Question:** How long does it take to receive the dataset? — **Answer:** 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.
- **Question:** Is the dataset real-world or synthetic? — **Answer:** 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.
- **Question:** How can this dataset help improve voice assistants and conversational AI? — **Answer:** 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.

[Full list of this site's AI-readable pages](https://unidata.pro/llms.txt)