metadata

language:
  - ja
license: cc0-1.0
size_categories:
  - 10K<n<100K
task_categories:
  - automatic-speech-recognition
pretty_name: Japanese-Anime-Speech
dataset_info:
  features:
    - name: audio
      dtype: audio
    - name: transcription
      dtype: string
  splits:
    - name: train
      num_bytes: 5106408111.936
      num_examples: 47844
  download_size: 5109415908
  dataset_size: 5106408111.936
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
tags:
  - anime
  - japanese
  - 日本語
  - nihongo
  - speech
  - audio-text
  - asr
  - whisper
  - voice
  - large-v3

Japanese Anime Speech Dataset

日本語版はこちら

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.

A list of all audio files and transcriptions are here.

Content Warning: Please be advised that the majority of the audio in this dataset is sourced from visual novels and may include content that is not suitable for all audiences, such as suggestive sounds or mature topics. Efforts have been undertaken to minimise this content as much as possible.

Changelog

V1 - This 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.
V2 - The version contains 23,422 audio-text pairs from three different visual novels. Cleaning has been done to remove most nsfw lines, especially noises that aren't words. The audio is now in mp3 format, rather than wav. This version contains 32.6 hours of audio.
V3 - The dataset now contains 38,325 audio-text pairs from five different visual novels. Thorough cleaning has been done to remove almost all nsfw or low-quality audio files. Transcriptions have been formatted to contain much fewer dramatised duplicated characters (for example 「ああああーーー」), and transcriptions have been made much more consistent (for example, using the same type of quotation mark). This version contains 52.5 hours of audio.
V4 - The dataset now contains 47,844 audio-text pairs from six different visual novels. Thorough cleaning has been done to remove almost all nsfw or low-quality audio files. Transcriptions have been formatted to contain much fewer dramatised duplicated characters (for example 「ああああーーー」). This version contains 63.4 hours of audio.

Dataset information

47,844 audio-text pairs
63.4 hours of audio (OpenAI suggests a minimum of 5 hours for productive Whisper fine-tuning).
4.8s average audio length.
Transcriptions have been scraped directly from the game files of visual novels.

To do

Create a dataset of over 10k items
Create a dataset of over 20k items
Compress the audio with minimal quality loss
Create a dataset of over 30k items
Create a dataset of over 40k items
[] Create a dataset of over 50k items
Create more workflows for scraping audio from visual novels that use an engine other than Artemis
Convert names in transcriptions to katakana?
Scrape audio and transcriptions from YouTube

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.