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metadata
dataset_info:
  features:
    - name: audio
      dtype: audio
    - name: transcription
      dtype: string
  splits:
    - name: train
      num_bytes: 6338735137.714
      num_examples: 16143
  download_size: 6016375356
  dataset_size: 6338735137.714
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
task_categories:
  - automatic-speech-recognition
language:
  - ja
tags:
  - anime
  - japanese
  - 日本語
  - nihongo
  - speech
  - audio-text
pretty_name: Japanese-Anime-Speech
size_categories:
  - 10K<n<100K

Japanese Anime Speech Dataset

japanese-anime-speech is an audio-text dataset designed for the training of automatic speech recognition models. The dataset is comprised of thousands of audio clips and their corresponding transcriptions from different visual novels.

The goal of this dataset is to enhance the proficiency of automatic speech recognition systems, such as OpenAI's Whisper, in accurately transcribing dialogue from anime and other similar Japanese media. This genre is characterized by unique linguistic features and speech patterns that diverge from conventional Japanese speech.

Code used for scraping this audio will be available once I feel it is reliable and easy-to-use.

Changelog

  • V1 - The current version contains 16,143 audio-text pairs from the visual novel IxSHE Tell. Some cleaning of the transcriptions has been done to get rid of unwanted characters at the start and end of lines, but I intend to do much more for the second version.

To do

  • Create a dataset of over 10k items
  • Add audio from more visual novels
  • Create a workflow for scraping audio from visual novels that use an engine other than Artemis
  • Do more data cleaning (such as removing audio less than a certain length or with no actual words)
  • Create a dataset of over 20k items
  • Create a dataset of over 30k items

Use & Credit

This dataset is openly available for commercial or non-commercial use. Anyone is welcome to use this resource as they deem appropriate. However, the creator assumes no responsibility for the consequences of its use. While not mandatory, crediting this dataset with a hyperlink in any derivative work would be greatly appreciated.

I hope that by sharing this dataset, we (the open-source community) improve automatic speech recognition for anime content.