README.md

metadata

dataset_info:
  features:
    - name: audio
      dtype: audio
    - name: text
      dtype: string
    - name: speaker_id
      dtype: int64
    - name: phonemes_ipa
      sequence: string
  splits:
    - name: train
      num_bytes: 2096285787.1674485
      num_examples: 3922
    - name: test
      num_bytes: 524338693.8325515
      num_examples: 981
  download_size: 2077059933
  dataset_size: 2620624481
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
license: cc-by-sa-4.0
task_categories:
  - automatic-speech-recognition
language:
  - es
tags:
  - speech
  - phonemes
pretty_name: Crowdsourced high-quality Colombian Spanish speech dataset.

Dataset Description

Dataset Summary

This dataset is a modified version of Crowdsourced high-quality Colombian Spanish speech dataset. We added a new phonemes_ipa column, which contains phonemized sentences in the IPA format. We use babygruut to phonemize the sentences. This dataset, originally collected by Google, provides 4,903 high-quality utterances, representing 7.58 hours of audio specifically from Colombian Spanish speakers.

Languages

Spanish

Sample Instance

{'audio': {'path': 'com_07508_01944220782.wav',
  'array': array([0.00228882, 0.00231934, 0.00198364, ..., 0.00097656, 0.00088501,
         0.00097656]),
  'sampling_rate': 48000},
 'text': 'Quiero irme de vacaciones a Hawái pero tengo ésta duda de si el volcán está activo',
 'speaker_id': 7508,
 'phonemes_ipa': ['k ʝ e ɾ o',
  'i ɾ m e',
  'd e',
  'b a k a θ ʝ o n e s',
  'a',
  'a ai',
  'p e ɾ o',
  't e n g o',
  'e s t a',
  'd u d a',
  'd e',
  's i',
  'e l',
  'b o l k a n',
  'e s t a',
  'a k t i b o']}

The following describe the information on each column in the dataset:

• audio: Contains the audio data including the file path, waveform array, and sampling rate
• text: Text transcription of the spoken content in Spanish
• speaker_id: Unique numeric identifier for the speaker
• phonemes_ipa: Phonetic transcription using International Phonetic Alphabet (IPA) symbols, segmented by words

Data Splits

Split	Number of examples
Train	3922
Test	981

Total: 4,903 utterances (~7.58 hours of audio)