README.md

metadata

language:
  - en
size_categories:
  - 100K<n<1M
task_categories:
  - automatic-speech-recognition
dataset_info:
  features:
    - name: sentence
      dtype: string
    - name: up_votes
      dtype: int64
    - name: down_votes
      dtype: int64
    - name: phonemes
      dtype: string
    - name: audio
      dtype:
        audio:
          sampling_rate: 22050
    - name: text
      dtype: string
    - name: normalized_text
      dtype: string
    - name: client_id
      dtype: string
    - name: sentence_id
      dtype: string
    - name: age
      dtype: string
    - name: gender
      dtype: string
    - name: accents
      dtype: string
    - name: variant
      dtype: float64
    - name: locale
      dtype: string
    - name: segment
      dtype: string
    - name: sentence_domain
      dtype: float64
  splits:
    - name: train
      num_bytes: 89318002198
      num_examples: 468624
  download_size: 80889620186
  dataset_size: 89318002198
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

British English Phonetic Dataset

Introduction

This dataset is an extension of Common Voice, from which 6 subsets were selected (Common Voice Corpus 1, Common Voice Corpus 2, Common Voice Corpus 3, Common Voice Corpus 4, Common Voice Corpus 18.0, Common Voice Corpus 19.0). All data containing the England accent from these 6 subsets were extracted and phonetically annotated accordingly.

Description

Key fields explanation:

1. sentence: The English sentence referenced by the audio.
2. phonemes: The phonetic sequence corresponding to the English sentence.
3. audio: The audio data.

Using these three fields, you can build your own speech-to-text or speech-to-phoneme applications. Additionally, you can use fields such as up_votes, down_votes, age, gender, etc., to filter the dataset and perform diversity analysis.