|
|
---
|
|
|
language:
|
|
|
- zh
|
|
|
license: cc-by-nc-4.0
|
|
|
size_categories:
|
|
|
- 10B<n<100B
|
|
|
task_categories:
|
|
|
- text-to-speech
|
|
|
pretty_name: Debatts-Data
|
|
|
tags:
|
|
|
- AI
|
|
|
- Debating
|
|
|
- Expressive
|
|
|
dataset_info:
|
|
|
features:
|
|
|
- name: Rebuttal Subject
|
|
|
dtype: string
|
|
|
- name: Audio Name
|
|
|
dtype: string
|
|
|
- name: audio
|
|
|
dtype: audio
|
|
|
- name: text
|
|
|
dtype: string
|
|
|
- name: json
|
|
|
struct:
|
|
|
- name: duration
|
|
|
dtype: float64
|
|
|
- name: key
|
|
|
dtype: string
|
|
|
- name: language
|
|
|
dtype: string
|
|
|
- name: prompt0_wav_path
|
|
|
dtype: string
|
|
|
- name: style_feature
|
|
|
dtype: string
|
|
|
- name: text
|
|
|
dtype: string
|
|
|
- name: wav_path
|
|
|
dtype: string
|
|
|
splits:
|
|
|
- name: train
|
|
|
num_bytes: 9878829.0
|
|
|
num_examples: 8
|
|
|
download_size: 8849152
|
|
|
dataset_size: 9878829.0
|
|
|
configs:
|
|
|
- config_name: default
|
|
|
data_files:
|
|
|
- split: train
|
|
|
path: data/train-*
|
|
|
---
|
|
|
# Debatts-Data: The First Madarin Rebuttal Speech Dataset for Expressive Text-to-Speech Synthesis
|
|
|
|
|
|
The Debatts-Data dataset is the first Madarin rebuttal speech dataset for expressive text-to-speech synthesis. It is constructed from a vast collection of professional Madarin speech data sourced from diverse video platforms and podcasts on the Internet. The in-the-wild collection approach ensures the real and natural rebuttal speech. In addition, the dataset contains annotations of transcription, duration and style embed.
|
|
|
The table and chart below provide the statistic information for the dataset. For some dataset samples and more information regarding Debatts system, please visit the [Debatts project page](https://amphionspace.github.io/debatts/).
|
|
|
|
|
|
## Dataset Specifications
|
|
|
|
|
|
| Attribute | Value |
|
|
|
|----------------------|---------------|
|
|
|
| Language | ZH |
|
|
|
| Number of Speakers | 2,350 (est.) |
|
|
|
| Duration (hrs) | 111 |
|
|
|
| Type | Text + Speech |
|
|
|
| Sample Rate (kHz) | 16 |
|
|
|
| Recorded Method | Wild |
|
|
|
|
|
|
|
|
|
The JSON files in the dataset contain the following keys:
|
|
|
|
|
|
| Key | Description |
|
|
|
|-------------------|----------------------------------------------------------|
|
|
|
| `key` | Unique identifier for each sample in the dataset |
|
|
|
| `text` | Text transcription of the audio |
|
|
|
| `duration` | Duration of the audio clip in seconds |
|
|
|
| `language` | Language of the audio content |
|
|
|
| `wav_path` | Path to the corresponding WAV file |
|
|
|
| `prompt0_wav_path`| Path to the WAV file used as a prompt |
|
|
|
| `style_feature` | Style features associated with the audio sample |
|
|
|
## README 🔥🔥🔥
|
|
|
|
|
|
## Dataset Usage
|
|
|
|
|
|
To utilize the Debatts-Data dataset, you can download the raw audio files from the files and versions. The Debatts-Data.tar.gz contains the training data, while the Debatts-Data_test.tar.gz contains the testing data with extra speaker prompt speech.
|
|
|
|
|
|
|
|
|
*Please note that Debatts-Data does not own the copyright to the audio files; the copyright remains with the original owners of the videos or audio. Users are permitted to use this dataset only for non-commercial purposes under the CC BY-NC-4.0 license.* |
