|
--- |
|
configs: |
|
- config_name: clean |
|
version: 1.0.0 |
|
data_files: |
|
- split: train |
|
path: data/train.clean-* |
|
- split: test |
|
path: data/test.clean-* |
|
- split: dev |
|
path: data/dev.clean-* |
|
- config_name: other |
|
version: 1.0.0 |
|
data_files: |
|
- split: train |
|
path: data/train.other-* |
|
- split: test |
|
path: data/test.other-* |
|
- split: dev |
|
path: data/dev.other-* |
|
- config_name: all |
|
version: 1.0.0 |
|
data_files: |
|
- split: train.clean |
|
path: data/train.clean-* |
|
- split: train.other |
|
path: data/train.other-* |
|
- split: dev.clean |
|
path: data/dev.clean-* |
|
- split: dev.other |
|
path: data/dev.other-* |
|
- split: test.clean |
|
path: data/test.clean-* |
|
- split: test.other |
|
path: data/test.other-* |
|
dataset_info: |
|
- config_name: clean |
|
features: |
|
- name: speaker |
|
dtype: string |
|
- name: file |
|
dtype: string |
|
- name: duration |
|
dtype: float32 |
|
- name: text |
|
dtype: string |
|
- name: text_no_preprocessing |
|
dtype: string |
|
- name: text_normalized |
|
dtype: string |
|
- name: audio |
|
dtype: |
|
audio: |
|
sampling_rate: 44100 |
|
splits: |
|
- name: train |
|
num_bytes: 17023899243 |
|
num_examples: 125989 |
|
- name: dev |
|
num_bytes: 24204633 |
|
num_examples: 150 |
|
- name: test |
|
num_bytes: 52040552 |
|
num_examples: 300 |
|
download_size: 16271001158 |
|
dataset_size: 17104553676 |
|
- config_name: other |
|
features: |
|
- name: speaker |
|
dtype: string |
|
- name: file |
|
dtype: string |
|
- name: duration |
|
dtype: float32 |
|
- name: text |
|
dtype: string |
|
- name: text_no_preprocessing |
|
dtype: string |
|
- name: text_normalized |
|
dtype: string |
|
- name: audio |
|
dtype: |
|
audio: |
|
sampling_rate: 44100 |
|
splits: |
|
- name: train |
|
num_bytes: 26755286687 |
|
num_examples: 196489 |
|
- name: dev |
|
num_bytes: 65601521 |
|
num_examples: 350 |
|
- name: test |
|
num_bytes: 129348882 |
|
num_examples: 700 |
|
download_size: 25655017468 |
|
dataset_size: 26957939607 |
|
- config_name: all |
|
features: |
|
- name: speaker |
|
dtype: string |
|
- name: file |
|
dtype: string |
|
- name: duration |
|
dtype: float32 |
|
- name: text |
|
dtype: string |
|
- name: text_no_preprocessing |
|
dtype: string |
|
- name: text_normalized |
|
dtype: string |
|
- name: audio |
|
dtype: |
|
audio: |
|
sampling_rate: 44100 |
|
splits: |
|
- name: train.clean |
|
num_bytes: 17023899243 |
|
num_examples: 125989 |
|
- name: train.other |
|
num_bytes: 26755286687 |
|
num_examples: 196489 |
|
- name: dev.clean |
|
num_bytes: 24204633 |
|
num_examples: 150 |
|
- name: dev.other |
|
num_bytes: 65601521 |
|
num_examples: 350 |
|
- name: test.clean |
|
num_bytes: 52040552 |
|
num_examples: 300 |
|
- name: test.other |
|
num_bytes: 129348882 |
|
num_examples: 700 |
|
download_size: 7040649041 |
|
dataset_size: 44050381518 |
|
pretty_name: HiFi TTS |
|
description: >- |
|
Hi-Fi Multi-Speaker English TTS Dataset (Hi-Fi TTS) is based on LibriVox's |
|
public domain audio books and Gutenberg Project texts. |
|
homepage: http://www.openslr.org/109 |
|
language: |
|
- en |
|
license: |
|
- cc-by-4.0 |
|
citation: | |
|
@article{bakhturina2021hi, |
|
title={{Hi-Fi Multi-Speaker English TTS Dataset}}, |
|
author={Bakhturina, Evelina and Lavrukhin, Vitaly and Ginsburg, Boris and Zhang, Yang}, |
|
journal={arXiv preprint arXiv:2104.01497}, |
|
year={2021} |
|
} |
|
task_categories: |
|
- text-to-speech |
|
- text-to-audio |
|
--- |
|
|
|
# Dataset Card for HiFiTTS |
|
|
|
Hi-Fi Multi-Speaker English TTS Dataset (Hi-Fi TTS) is based on LibriVox's public domain audio books and Gutenberg Project texts. |
