| --- |
| dataset_info: |
| features: |
| - name: audio |
| dtype: audio |
| - name: transcription |
| dtype: string |
| - name: character_name |
| dtype: string |
| - name: anime |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 3431929153.84 |
| num_examples: 11020 |
| download_size: 3552115728 |
| dataset_size: 3431929153.84 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| license: cc |
| task_categories: |
| - automatic-speech-recognition |
| - text-to-speech |
| language: |
| - en |
| pretty_name: 'AnimeVox: Character TTS Corpus' |
| size_categories: |
| - 10K<n<100K |
| tags: |
| - audio |
| - text |
| --- |
| |
| # AnimeVox: Character TTS Corpus |
|
|
| ## 🗣️ Dataset Overview |
|
|
| AnimeVox is an English Text-to-Speech (TTS) dataset featuring 11,020 audio clips from 19 distinct anime characters across popular series. Each clip includes a high-quality transcription, character name, and anime title, making it ideal for voice cloning, custom TTS model fine-tuning, and character voice synthesis research. |
|
|
| The dataset was created and processed using **[TTSizer](https://github.com/taresh18/TTSizer)**, an open-source tool that automates creating high-quality TTS datasets from raw media (audio/video). |
|
|
| **Watch the Demo Video:** |
| [](https://youtu.be/POwMVTwsZDQ?si=rxNy7grLyROhdIEd) |
|
|
| ## 📊 Dataset Statistics |
|
|
| - **Total samples:** 11,020 |
| - **Characters:** 19 |
| - **Anime series:** 15 |
| - **Audio format:** 44.1kHz mono WAV |
| - **Storage size:** ~3.5GB |
|
|
| ## 🎧 Dataset Structure |
|
|
| * **Instances:** Each sample is a dictionary with the following structure: |
| ```python |
| { |
| "audio": {"path": "...", "array": ..., "sampling_rate": 44100}, |
| "transcription": "English text spoken by the character.", |
| "character_name": "Character Name", |
| "anime": "Anime Series Title" |
| } |
| * **Fields:** |
| * `audio`: Audio object (44.1kHz). |
| * `transcription`: (str) English transcription. |
| * `character_name`: (str) Name of the speaking character. |
| * `anime`: (str) Anime series title. |
| * **Splits:** A single train split with all 11,020 samples from 19 characters. |
| |
| ## 🛠️ Dataset Creation |
| |
| ### Source |
| Audio clips were sourced from official English-dubbed versions of popular anime series. The clips were selected to capture diverse emotional tones and vocal characteristics unique to each character. |
| |
| ### Processing with TTSizer |
| This dataset was generated using **[TTSizer](https://github.com/taresh18/TTSizer)**, which offers an end-to-end automated pipeline for creating TTS-ready datasets. Key features utilized include: |
| |
| * **Advanced Multi-Speaker Diarization:** To accurately identify and segment speech for each of the characters, even in complex audio environments. |
| * **State-of-the-Art Model Integration:** Leveraging models such as MelBandRoformer (for vocal separation), Gemini (for diarization), CTC-Aligner (for precise audio-text alignment), and WeSpeaker (for speaker embedding/verification). |
| * **Quality Control:** Implementing automatic outlier detection to flag and help refine potentially problematic audio-text pairs, ensuring higher dataset quality. |
| |
| The tool's configurable nature allowed for fine-tuning the entire process to suit the specific needs of this anime voice dataset. |
| |
| ## 📜 Licensing & Usage |
| |
| * **License:** Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0). |
| |
| ## 🚀 How to Use |
| |
| ```python |
| from datasets import load_dataset |
| |
| # Load the dataset |
| dataset = load_dataset("taresh18/AnimeVox") |
|
|
| # Access the training split |
| train_data = dataset["train"] |
| |
| # Print dataset information |
| print(f"Dataset contains {len(train_data)} samples") |
|
|
| # Access a specific sample |
| sample = train_data[0] |
| print(f"Character: {sample['character_name']}") |
| print(f"From anime: {sample['anime']}") |
| print(f"Transcription: {sample['transcription']}") |
| ``` |
