metadata

license: cc-by-nc-sa-4.0
dataset_info:
  features:
    - name: channel
      dtype: string
    - name: text
      dtype: string
    - name: audio
      dtype: audio
  splits:
    - name: train
      num_bytes: 176904988694.328
      num_examples: 887772
  download_size: 168568830261
  dataset_size: 176904988694.328
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
task_categories:
  - text-to-speech
language:
  - vi
pretty_name: 'viVoice: Enabling Vietnamese Multi-Speaker Speech Synthesis'
size_categories:
  - 100K<n<1M
extra_gated_prompt: >-
  Experiments conducted with this dataset must adhere to ethical guidelines and
  legal standards, ensuring no harm to individuals and organizations (Các thí
  nghiệm được thực hiện với tập dữ liệu này phải tuân thủ các tiêu chuẩn đạo đức
  và tiêu chuẩn pháp lý, đảm bảo không gây hại cho cá nhân và tổ chức khác)
extra_gated_heading: >-
  Acknowledge terms and conditions to accept the dataset (Chấp nhận các điều
  khoản và điều kiện để sử dụng bộ dữ liệu)
extra_gated_description: >-
  We may take 2-3 days to process your request (Chúng tôi có thể mất 2-3 ngày để
  xử lý yêu cầu của bạn)
extra_gated_button_content: I Acknowledge (Tôi đồng ý)
extra_gated_fields:
  Institution (Tổ chức): text
  Country (Quốc gia): country
  I want to use this dataset for (Mục đích sử dụng bộ dữ liệu):
    type: select
    options:
      - Scientific Research (Nghiên cứu khoa học)
      - Statistical Analysis (Phân tích thống kê)
      - label: Other (Khác)
        value: other
  I have read and agree with the terms and conditions specified (Tôi đã đọc và đồng ý với các điều khoản và điều kiện trên): checkbox

Important Note ⚠️

This dataset is only to be used for research purposes. Access requests must be made via your school, institution, or work email. Requests from common email services will be rejected. We apologize for any inconvenience.

viVoice: Enabling Vietnamese Multi-Speaker Speech Synthesis

For a comprehensive description, please visit https://github.com/thinhlpg/viVoice This dataset is licensed under CC-BY-NC-SA-4.0 and is intended for research purposes only.

Key Features and Statistic 📊

All audio is cleaned from noise and music.
Clean cuts are made at the beginning and end of sentences to eliminate any unnecessary silences or disruptions, while avoiding cutting in the middle of words.
Sourced from 186 YouTube channels, with channel IDs included for transparency.
Number of samples: 887,772
Total duration: 1,016.97 hours
Sampling rate: 24 kHz
Number of splits: 1 (train only)
Size: 169 GBs
Gender distribution of speakers: 61.3% ± 3.02% male (manually estimated from a sample of 1,000 with a 95% confidence interval)
Estimated transcription error rate: 1.8% ± 0.82% (manually estimated from a sample of 1,000 with a 95% confidence interval)
- This metric is for quick reference purposes only; users of this dataset should carefully inspect it to ensure it meets your requirements.
- The error rate only accounts for sentences with mistranscriptions (more or fewer words than expected).
- Other errors, such as missing punctuation or incorrect but phonetically similar words, are not counted.