ID int64 1 5 | Audio stringclasses 5
values | Text stringclasses 5
values |
|---|---|---|
1 | audio/1.wav | text/1.txt |
2 | audio/2.wav | text/2.txt |
3 | audio/3.wav | text/3.txt |
4 | audio/4.wav | text/4.txt |
5 | audio/5.wav | text/5.txt |
British English Speech Dataset for recognition task
Dataset comprises 200 hours of high-quality audio recordings featuring 310 speakers, achieving an impressive 95% Sentence Accuracy Rate. This extensive collection of speech data is designed for NLP tasks such as speech recognition, dialogue systems, and language understanding.
By utilizing this dataset, developers and researchers can advance their work in automatic speech recognition and improve recognition systems. - Get the data
The dataset is particularly valuable for improving speech synthesis, speech intelligibility, and recognition systems, making it a critical resource for advancing language resources and speech signals.
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Metadata for the dataset
- Audio files: High-quality recordings in Uncompressed WAV format
- Text transcriptions: Accurate and detailed transcripts for each audio segment
- Speaker information: Metadata on native speakers, including gender and etc
- Topics: Diverse domains such as general conversations, business and etc
Frequently Asked Questions
What types of conversations are included in this British English speech dataset?
The dataset contains natural telephone conversations recorded from native British English speakers. The recordings capture realistic conversational speech rather than isolated phrases, helping researchers develop AI models that better understand natural pronunciation, speaking styles, and everyday communication patterns.
How was the speech data collected?
The recordings were collected through crowdsourcing platforms using native British English speakers.
Who can benefit from this British English speech recognition dataset?
The dataset is valuable for speech AI companies, ASR researchers, universities, conversational AI developers, call automation providers, and organizations building English-language voice applications. It can support projects involving transcription, voice assistants, speech analytics, and customer communication automation."
The native speakers and various topics and domains covered in the dataset make it an ideal resource for research community, allowing researchers to study spoken languages, dialects, and language patterns.
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