metadata
dataset_info:
- config_name: default
features:
- name: audio_filename
dtype: string
- name: folder
dtype: string
- name: text
dtype: string
- name: start
dtype: float64
- name: end
dtype: float64
- name: speaker
dtype: string
- name: language
dtype: string
- name: dnsmos
dtype: float64
splits:
- name: train
num_bytes: 367597240
num_examples: 605169
download_size: 103343988
dataset_size: 367597240
- config_name: speaker_permutation
features:
- name: reference_audio
dtype: string
- name: reference_text
dtype: string
- name: target_audio
dtype: string
- name: target_text
dtype: string
splits:
- name: train
num_bytes: 17529497076
num_examples: 18420256
download_size: 203132504
dataset_size: 17529497076
- config_name: speaker_permutation_sample
features:
- name: reference_audio
dtype: string
- name: reference_text
dtype: string
- name: target_audio
dtype: string
- name: target_text
dtype: string
splits:
- name: train
num_bytes: 1277986515
num_examples: 1345148
download_size: 203603198
dataset_size: 1277986515
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- config_name: speaker_permutation
data_files:
- split: train
path: speaker_permutation/train-*
- config_name: speaker_permutation_sample
data_files:
- split: train
path: speaker_permutation_sample/train-*
Malaysian-Chinese-Emilia
Use https://github.com/mesolitica/Emilia to pseudo-label Malaysian Chinese audio.
- Total rows: 605169
- Total hours: 1857.611445057867 hours
Permutation for Voice Conversion
Also we already calculated speaker permutation to prepare for voice conversion.