|
|
--- |
|
|
dataset_info: |
|
|
- config_name: Assamese |
|
|
features: |
|
|
- name: text |
|
|
dtype: string |
|
|
- name: lang |
|
|
dtype: string |
|
|
- name: samples |
|
|
dtype: int64 |
|
|
- name: verbatim |
|
|
dtype: string |
|
|
- name: normalized |
|
|
dtype: string |
|
|
- name: speaker_id |
|
|
dtype: string |
|
|
- name: scenario |
|
|
dtype: string |
|
|
- name: task_name |
|
|
dtype: string |
|
|
- name: gender |
|
|
dtype: string |
|
|
- name: age_group |
|
|
dtype: string |
|
|
- name: job_type |
|
|
dtype: string |
|
|
- name: qualification |
|
|
dtype: string |
|
|
- name: area |
|
|
dtype: string |
|
|
- name: district |
|
|
dtype: string |
|
|
- name: state |
|
|
dtype: string |
|
|
- name: occupation |
|
|
dtype: string |
|
|
- name: audio |
|
|
dtype: |
|
|
audio: |
|
|
sampling_rate: 48000 |
|
|
- name: utterance_pitch_mean |
|
|
dtype: float64 |
|
|
- name: utterance_pitch_std |
|
|
dtype: float64 |
|
|
- name: snr |
|
|
dtype: float64 |
|
|
- name: c50 |
|
|
dtype: float64 |
|
|
- name: speaking_rate |
|
|
dtype: float64 |
|
|
- name: cer |
|
|
dtype: string |
|
|
- name: duration |
|
|
dtype: float64 |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 122851289416.98 |
|
|
num_examples: 71710 |
|
|
- name: test |
|
|
num_bytes: 526265972.05531913 |
|
|
num_examples: 366 |
|
|
download_size: 108723673759 |
|
|
dataset_size: 123377555389.03531 |
|
|
- config_name: Bengali |
|
|
features: |
|
|
- name: text |
|
|
dtype: string |
|
|
- name: lang |
|
|
dtype: string |
|
|
- name: samples |
|
|
dtype: int64 |
|
|
- name: verbatim |
|
|
dtype: string |
|
|
- name: normalized |
|
|
dtype: string |
|
|
- name: speaker_id |
|
|
dtype: string |
|
|
- name: scenario |
|
|
dtype: string |
|
|
- name: task_name |
|
|
dtype: string |
|
|
- name: gender |
|
|
dtype: string |
|
|
- name: age_group |
|
|
dtype: string |
|
|
- name: job_type |
|
|
dtype: string |
|
|
- name: qualification |
|
|
dtype: string |
|
|
- name: area |
|
|
dtype: string |
|
|
- name: district |
|
|
dtype: string |
|
|
- name: state |
|
|
dtype: string |
|
|
- name: occupation |
|
|
dtype: string |
|
|
- name: audio |
|
|
dtype: |
|
|
audio: |
|
|
sampling_rate: 48000 |
|
|
- name: utterance_pitch_mean |
|
|
dtype: float64 |
|
|
- name: utterance_pitch_std |
|
|
dtype: float64 |
|
|
- name: snr |
|
|
dtype: float64 |
|
|
- name: c50 |
|
|
dtype: float64 |
|
|
- name: speaking_rate |
|
|
dtype: float64 |
|
|
- name: cer |
|
|
dtype: string |
|
|
- name: duration |
|
|
dtype: float64 |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 77016497625.104 |
|
|
num_examples: 39904 |
|
|
- name: test |
|
|
num_bytes: 522451001.2429907 |
|
|
num_examples: 288 |
|
|
download_size: 72237562604 |
|
|
dataset_size: 77538948626.347 |
|
|
- config_name: Bodo |
|
|
features: |
|
|
- name: text |
|
|
dtype: string |
|
|
- name: lang |
|
|
dtype: string |
|
|
- name: samples |
|
|
dtype: int64 |
|
|
- name: verbatim |
|
|
dtype: string |
|
|
- name: normalized |
|
|
dtype: string |
|
|
- name: speaker_id |
|
|
dtype: string |
|
|
- name: scenario |
|
|
dtype: string |
|
|
- name: task_name |
|
|
dtype: string |
|
|
- name: gender |
|
|
dtype: string |
|
|
- name: age_group |
|
|
dtype: string |
|
|
- name: job_type |
|
|
dtype: string |
|
|
- name: qualification |
|
|
dtype: string |
|
|
- name: area |
|
|
dtype: string |
|
|
- name: district |
|
|
dtype: string |
|
|
- name: state |
|
|
dtype: string |
|
|
- name: occupation |
|
|
dtype: string |
|
|
- name: audio |
|
|
dtype: |
|
|
audio: |
|
|
sampling_rate: 48000 |
|
|
- name: utterance_pitch_mean |
|
|
dtype: float64 |
|
|
- name: utterance_pitch_std |
|
|
dtype: float64 |
|
|
- name: snr |
|
|
dtype: float64 |
|
|
- name: c50 |
|
|
dtype: float64 |
|
|
- name: speaking_rate |
|
|
dtype: float64 |
|
|
- name: cer |
|
|
dtype: string |
|
|
- name: duration |
|
|
dtype: float64 |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 127649597635.045 |
|
|
num_examples: 81887 |
|
|
- name: test |
|
|
num_bytes: 461090189.29545456 |
|
|
num_examples: 387 |
|
|
download_size: 105061483331 |
|
|
dataset_size: 128110687824.34045 |
|
|
- config_name: Dogri |
|
|
features: |
|
|
- name: text |
|
|
dtype: string |
|
|
- name: lang |
|
|
dtype: string |
|
|
- name: samples |
|
|
dtype: int64 |
|
|
- name: verbatim |
|
|
dtype: string |
|
|
- name: normalized |
|
|
dtype: string |
|
|
- name: speaker_id |
|
|
dtype: string |
|
|
- name: scenario |
|
|
dtype: string |
|
|
- name: task_name |
|
|
dtype: string |
|
|
- name: gender |
|
|
dtype: string |
|
|
- name: age_group |
|
|
dtype: string |
|
|
- name: job_type |
|
|
dtype: string |
|
|
- name: qualification |
|
|
dtype: string |
|
|
- name: area |
|
|
dtype: string |
|
|
- name: district |
|
|
dtype: string |
|
|
- name: state |
|
|
dtype: string |
|
|
- name: occupation |
|
|
dtype: string |
|
|
- name: audio |
|
|
dtype: |
|
|
audio: |
|
|
sampling_rate: 48000 |
|
|
- name: utterance_pitch_mean |
|
|
dtype: float64 |
|
|
- name: utterance_pitch_std |
|
|
dtype: float64 |
|
|
- name: snr |
|
|
dtype: float64 |
|
|
- name: c50 |
|
|
dtype: float64 |
|
|
- name: speaking_rate |
|
|
dtype: float64 |
|
|
- name: cer |
|
|
dtype: string |
|
|
- name: duration |
|
|
dtype: float64 |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 48153401784.12501 |
|
|
num_examples: 26635 |
|
|
- name: test |
|
|
num_bytes: 657737960.9497126 |
|
|
num_examples: 425 |
|
|
download_size: 44179370019 |
|
|
dataset_size: 48811139745.07472 |
|
|
- config_name: Gujarati |
|
|
features: |
|
|
- name: text |
|
|
dtype: string |
|
|
- name: lang |
|
|
dtype: string |
|
|
- name: samples |
|
|
dtype: int64 |
|
|
- name: verbatim |
|
|
dtype: string |
|
|
- name: normalized |
|
|
dtype: string |
|
|
- name: speaker_id |
|
|
dtype: string |
|
|
- name: scenario |
|
|
dtype: string |
|
|
- name: task_name |
|
|
dtype: string |
|
|
- name: gender |
|
|
dtype: string |
|
|
- name: age_group |
|
|
dtype: string |
|
|
- name: job_type |
|
|
dtype: string |
|
|
- name: qualification |
|
|
dtype: string |
|
|
- name: area |
|
|
dtype: string |
|
|
- name: district |
|
|
dtype: string |
|
|
- name: state |
|
|
dtype: string |
|
|
- name: occupation |
|
|
dtype: string |
|
|
- name: audio |
|
|
dtype: |
|
|
audio: |
|
|
sampling_rate: 48000 |
|
|
- name: utterance_pitch_mean |
|
|
dtype: float64 |
|
|
- name: utterance_pitch_std |
|
|
dtype: float64 |
|
|
- name: snr |
|
|
dtype: float64 |
|
|
- name: c50 |
|
|
dtype: float64 |
|
|
- name: speaking_rate |
|
|
dtype: float64 |
|
|
- name: cer |
|
|
dtype: string |
|
|
- name: duration |
|
|
dtype: float64 |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 2212555405.137 |
|
|
num_examples: 1129 |
|
|
- name: test |
|
|
num_bytes: 922872065.9261214 |
|
|
num_examples: 662 |
|
|
download_size: 2889359875 |
|
|
dataset_size: 3135427471.0631213 |
|
|
- config_name: Hindi |
|
|
features: |
|
|
- name: text |
|
|
dtype: string |
|
|
- name: lang |
|
|
dtype: string |
|
|
- name: samples |
|
|
dtype: int64 |
|
|
- name: verbatim |
|
|
dtype: string |
|
|
- name: normalized |
|
|
dtype: string |
|
|
- name: speaker_id |
|
|
dtype: string |
|
|
- name: scenario |
|
|
dtype: string |
|
|
- name: task_name |
|
|
dtype: string |
|
|
- name: gender |
|
|
dtype: string |
|
|
- name: age_group |
|
|
dtype: string |
|
|
- name: job_type |
|
|
dtype: string |
|
|
- name: qualification |
|
|
dtype: string |
|
|
- name: area |
|
|
dtype: string |
|
|
- name: district |
|
|
dtype: string |
|
|
- name: state |
|
|
dtype: string |
|
|
- name: occupation |
|
|
dtype: string |
|
|
- name: audio |
|
|
dtype: |
|
|
audio: |
|
|
sampling_rate: 48000 |
|
|
- name: utterance_pitch_mean |
|
|
dtype: float64 |
|
|
- name: utterance_pitch_std |
|
|
dtype: float64 |
|
|
- name: snr |
|
|
dtype: float64 |
|
|
- name: c50 |
|
|
dtype: float64 |
|
|
- name: speaking_rate |
|
|
dtype: float64 |
|
|
- name: cer |
|
|
dtype: string |
|
|
- name: duration |
|
|
dtype: float64 |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 49253683927.42801 |
|
|
num_examples: 26318 |
|
|
- name: test |
|
|
num_bytes: 634066169.5672913 |
|
|
num_examples: 376 |
|
|
download_size: 47225888374 |
|
|
dataset_size: 49887750096.9953 |
|
|
- config_name: Kannada |
|
|
features: |
|
|
- name: text |
|
|
dtype: string |
|
|
- name: lang |
|
|
dtype: string |
|
|
- name: samples |
|
|
dtype: int64 |
|
|
- name: verbatim |
|
|
dtype: string |
|
|
- name: normalized |
|
|
dtype: string |
|
|
- name: speaker_id |
|
|
dtype: string |
|
|
- name: scenario |
|
|
dtype: string |
|
|
- name: task_name |
|
|
dtype: string |
|
|
- name: gender |
|
|
dtype: string |
|
|
- name: age_group |
|
|
dtype: string |
|
|
- name: job_type |
|
|
dtype: string |
|
|
- name: qualification |
|
|
dtype: string |
|
|
- name: area |
|
|
dtype: string |
|
|
- name: district |
|
|
dtype: string |
|
|
- name: state |
|
|
dtype: string |
|
|
- name: occupation |
|
|
dtype: string |
|
|
- name: audio |
|
|
dtype: |
|
|
audio: |
|
|
sampling_rate: 48000 |
|
|
- name: utterance_pitch_mean |
|
|
dtype: float64 |
|
|
- name: utterance_pitch_std |
|
|
dtype: float64 |
|
|
- name: snr |
|
|
dtype: float64 |
|
|
- name: c50 |
|
|
dtype: float64 |
|
|
- name: speaking_rate |
|
|
dtype: float64 |
|
|
- name: cer |
|
|
dtype: string |
|
|
- name: duration |
|
|
dtype: float64 |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 30237369216.256 |
|
|
num_examples: 16986 |
|
|
- name: test |
|
|
num_bytes: 620186097.3343196 |
|
|
num_examples: 342 |
|
|
download_size: 27604791540 |
|
|
dataset_size: 30857555313.59032 |
|
|
- config_name: Kashmiri |
|
|
features: |
|
|
- name: text |
|
|
dtype: string |
|
|
- name: lang |
|
|
dtype: string |
|
|
- name: samples |
|
|
dtype: int64 |
|
|
- name: verbatim |
|
|
dtype: string |
|
|
- name: normalized |
|
|
dtype: string |
|
|
- name: speaker_id |
|
|
dtype: string |
|
|
- name: scenario |
|
|
dtype: string |
|
|
- name: task_name |
|
|
dtype: string |
|
|
- name: gender |
|
|
dtype: string |
|
|
- name: age_group |
|
|
dtype: string |
|
|
- name: job_type |
|
|
dtype: string |
|
|
- name: qualification |
|
|
dtype: string |
|
|
- name: area |
|
|
dtype: string |
|
|
- name: district |
|
|
dtype: string |
|
|
- name: state |
|
|
dtype: string |
|
|
- name: occupation |
|
|
dtype: string |
|
|
- name: audio |
|
|
dtype: |
|
|
audio: |
|
|
sampling_rate: 48000 |
|
|
- name: utterance_pitch_mean |
|
|
dtype: float64 |
|
|
- name: utterance_pitch_std |
|
|
dtype: float64 |
|
|
- name: snr |
|
|
dtype: float64 |
|
|
- name: c50 |
|
|
dtype: float64 |
|
|
- name: speaking_rate |
|
|
dtype: float64 |
|
|
- name: cer |
|
|
dtype: string |
|
|
- name: duration |
|
|
dtype: float64 |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 42089394844.468 |
|
|
num_examples: 24692 |
|
|
- name: test |
|
|
num_bytes: 625351041.1055557 |
|
|
num_examples: 403 |
|
|
download_size: 39538620554 |
|
|
dataset_size: 42714745885.573555 |
|
|
- config_name: Konkani |
|
|
features: |
|
|
- name: text |
|
|
dtype: string |
|
|
- name: lang |
|
|
dtype: string |
|
|
- name: samples |
|
|
dtype: int64 |
|
|
- name: verbatim |
|
|
dtype: string |
|
|
- name: normalized |
|
|
dtype: string |
|
|
- name: speaker_id |
|
|
dtype: string |
|
|
- name: scenario |
|
|
dtype: string |
|
|
- name: task_name |
|
|
dtype: string |
|
|
- name: gender |
|
|
dtype: string |
|
|
- name: age_group |
|
|
dtype: string |
|
|
- name: job_type |
|
|
dtype: string |
|
|
- name: qualification |
|
|
dtype: string |
|
|
- name: area |
|
|
dtype: string |
|
|
- name: district |
|
|
dtype: string |
|
|
- name: state |
|
|
dtype: string |
|
|
- name: occupation |
|
|
dtype: string |
|
|
- name: audio |
|
|
dtype: |
|
|
audio: |
|
|
sampling_rate: 48000 |
|
|
- name: utterance_pitch_mean |
|
|
dtype: float64 |
|
|
- name: utterance_pitch_std |
|
|
dtype: float64 |
|
|
- name: snr |
|
|
dtype: float64 |
|
|
- name: c50 |
|
|
dtype: float64 |
|
|
- name: speaking_rate |
|
|
dtype: float64 |
|
|
- name: cer |
|
|
dtype: string |
|
|
- name: duration |
|
|
dtype: float64 |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 30645313881.567 |
|
|
num_examples: 19701 |
|
|
- name: test |
|
|
num_bytes: 775586053.842654 |
|
|
num_examples: 739 |
|
|
download_size: 31315001834 |
|
|
dataset_size: 31420899935.409657 |
|
|
- config_name: Maithili |
|
|
features: |
|
|
- name: text |
|
|
dtype: string |
|
|
- name: lang |
|
|
dtype: string |
|
|
- name: samples |
|
|
dtype: int64 |
|
|
- name: verbatim |
|
|
dtype: string |
|
|
- name: normalized |
|
|
dtype: string |
|
|
- name: speaker_id |
|
|
dtype: string |
|
|
- name: scenario |
|
|
dtype: string |
|
|
- name: task_name |
|
|
dtype: string |
|
|
- name: gender |
|
|
dtype: string |
|
|
- name: age_group |
|
|
dtype: string |
|
|
- name: job_type |
|
|
dtype: string |
|
|
- name: qualification |
|
|
dtype: string |
|
|
- name: area |
|
|
dtype: string |
|
|
- name: district |
|
|
dtype: string |
|
|
- name: state |
|
|
dtype: string |
|
|
- name: occupation |
|
|
dtype: string |
|
|
- name: audio |
|
|
dtype: |
|
|
audio: |
|
|
sampling_rate: 48000 |
|
|
- name: utterance_pitch_mean |
|
|
dtype: float64 |
|
|
- name: utterance_pitch_std |
|
|
dtype: float64 |
|
|
- name: snr |
|
|
dtype: float64 |
|
|
- name: c50 |
|
|
dtype: float64 |
|
|
- name: speaking_rate |
|
|
dtype: float64 |
|
|
- name: cer |
|
|
dtype: string |
|
|
- name: duration |
|
|
dtype: float64 |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 53938248942.716 |
|
|
num_examples: 31359 |
|
|
- name: test |
|
|
num_bytes: 441483304.53589314 |
|
|
num_examples: 260 |
|
|
download_size: 52296893761 |
|
|
dataset_size: 54379732247.2519 |
|
|
- config_name: Malayalam |
|
|
features: |
|
|
- name: text |
|
|
dtype: string |
|
|
- name: lang |
|
|
dtype: string |
|
|
- name: samples |
|
|
dtype: int64 |
|
|
- name: verbatim |
|
|
dtype: string |
|
|
- name: normalized |
|
|
dtype: string |
|
|
- name: speaker_id |
|
|
dtype: string |
|
|
- name: scenario |
|
|
dtype: string |
|
|
- name: task_name |
|
|
dtype: string |
|
|
- name: gender |
|
|
dtype: string |
|
|
- name: age_group |
|
|
dtype: string |
|
|
- name: job_type |
|
|
dtype: string |
|
|
- name: qualification |
|
|
dtype: string |
|
|
- name: area |
|
|
dtype: string |
|
|
- name: district |
|
|
dtype: string |
|
|
- name: state |
|
|
dtype: string |
|
|
- name: occupation |
|
|
dtype: string |
|
|
- name: audio |
|
|
dtype: |
|
|
audio: |
|
|
sampling_rate: 48000 |
|
|
- name: utterance_pitch_mean |
|
|
dtype: float64 |
|
|
- name: utterance_pitch_std |
|
|
dtype: float64 |
|
|
- name: snr |
|
|
dtype: float64 |
|
|
- name: c50 |
|
|
dtype: float64 |
|
|
- name: speaking_rate |
|
|
dtype: float64 |
|
|
- name: cer |
|
|
dtype: string |
|
|
- name: duration |
|
|
dtype: float64 |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 57312827276.29399 |
|
|
num_examples: 31106 |
|
|
- name: test |
|
|
num_bytes: 621717372.9800854 |
|
|
num_examples: 397 |
|
|
download_size: 52034095360 |
|
|
dataset_size: 57934544649.27408 |
|
|
- config_name: Manipuri |
|
|
features: |
|
|
- name: text |
|
|
dtype: string |
|
|
- name: lang |
|
|
dtype: string |
|
|
- name: samples |
|
|
dtype: int64 |
|
|
- name: verbatim |
|
|
dtype: string |
|
|
- name: normalized |
|
|
dtype: string |
|
|
- name: speaker_id |
|
|
dtype: string |
|
|
- name: scenario |
|
|
dtype: string |
|
|
- name: task_name |
|
|
dtype: string |
|
|
- name: gender |
|
|
dtype: string |
|
|
- name: age_group |
|
|
dtype: string |
|
|
- name: job_type |
|
|
dtype: string |
|
|
- name: qualification |
|
|
dtype: string |
|
|
- name: area |
|
|
dtype: string |
|
|
- name: district |
|
|
dtype: string |
|
|
- name: state |
|
|
dtype: string |
|
|
- name: occupation |
|
|
dtype: string |
|
|
- name: audio |
|
|
dtype: |
|
|
audio: |
|
|
sampling_rate: 48000 |
|
|
- name: utterance_pitch_mean |
|
|
dtype: float64 |
|
|
- name: utterance_pitch_std |
|
|
dtype: float64 |
|
|
- name: snr |
|
|
dtype: float64 |
|
|
- name: c50 |
|
|
dtype: float64 |
|
|
- name: speaking_rate |
|
|
dtype: float64 |
|
|
- name: cer |
|
|
dtype: string |
|
|
- name: duration |
|
|
dtype: float64 |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 14328219517.876 |
|
|
num_examples: 7532 |
|
|
- name: test |
|
|
num_bytes: 674561618.2266463 |
|
|
num_examples: 410 |
|
|
download_size: 13183954772 |
|
|
dataset_size: 15002781136.102646 |
|
|
- config_name: Marathi |
|
|
features: |
|
|
- name: text |
|
|
dtype: string |
|
|
- name: lang |
|
|
dtype: string |
|
|
- name: samples |
|
|
dtype: int64 |
|
|
- name: verbatim |
|
|
dtype: string |
|
|
- name: normalized |
|
|
dtype: string |
|
|
- name: speaker_id |
|
|
dtype: string |
|
|
- name: scenario |
|
|
dtype: string |
|
|
- name: task_name |
|
|
dtype: string |
|
|
- name: gender |
|
|
dtype: string |
|
|
- name: age_group |
|
|
dtype: string |
|
|
- name: job_type |
|
|
dtype: string |
|
|
- name: qualification |
|
|
dtype: string |
|
|
- name: area |
|
|
dtype: string |
|
|
- name: district |
|
|
dtype: string |
|
|
- name: state |
|
|
dtype: string |
|
|
- name: occupation |
|
|
dtype: string |
|
|
- name: audio |
|
|
dtype: |
|
|
audio: |
|
|
sampling_rate: 48000 |
|
|
- name: utterance_pitch_mean |
|
|
dtype: float64 |
|
|
- name: utterance_pitch_std |
|
|
dtype: float64 |
|
|
- name: snr |
|
|
dtype: float64 |
|
|
- name: c50 |
|
|
dtype: float64 |
|
|
- name: speaking_rate |
|
|
dtype: float64 |
|
|
- name: cer |
|
|
dtype: string |
|
|
- name: duration |
|
|
dtype: float64 |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 31333901677.368004 |
|
|
num_examples: 18776 |
|
|
- name: test |
|
|
num_bytes: 567714501.2734761 |
|
|
num_examples: 365 |
|
|
download_size: 31434459154 |
|
|
dataset_size: 31901616178.64148 |
|
|
- config_name: Nepali |
|
|
features: |
|
|
- name: text |
|
|
dtype: string |
|
|
- name: lang |
|
|
dtype: string |
|
|
- name: samples |
|
|
dtype: int64 |
|
|
- name: verbatim |
|
|
dtype: string |
|
|
- name: normalized |
|
|
dtype: string |
|
|
- name: speaker_id |
|
|
dtype: string |
|
|
- name: scenario |
|
|
dtype: string |
|
|
- name: task_name |
|
|
dtype: string |
|
|
- name: gender |
|
|
dtype: string |
|
|
- name: age_group |
|
|
dtype: string |
|
|
- name: job_type |
|
|
dtype: string |
|
|
- name: qualification |
|
|
dtype: string |
|
|
- name: area |
|
|
dtype: string |
|
|
- name: district |
|
|
dtype: string |
|
|
- name: state |
|
|
dtype: string |
|
|
- name: occupation |
|
|
dtype: string |
|
|
- name: audio |
|
|
dtype: |
|
|
audio: |
|
|
sampling_rate: 48000 |
|
|
- name: utterance_pitch_mean |
|
|
dtype: float64 |
|
|
- name: utterance_pitch_std |
|
|
dtype: float64 |
|
|
- name: snr |
|
|
dtype: float64 |
|
|
- name: c50 |
|
|
dtype: float64 |
|
|
- name: speaking_rate |
|
|
dtype: float64 |
|
|
- name: cer |
|
|
dtype: string |
|
|
- name: duration |
|
|
dtype: float64 |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 69214282970.652 |
|
|
num_examples: 42276 |
|
|
- name: test |
|
|
num_bytes: 510999634.7777778 |
|
|
num_examples: 300 |
|
|
download_size: 65816076799 |
|
|
dataset_size: 69725282605.42976 |
|
|
- config_name: Odia |
|
|
features: |
|
|
- name: text |
|
|
dtype: string |
|
|
- name: lang |
|
|
dtype: string |
|
|
- name: samples |
|
|
dtype: int64 |
|
|
- name: verbatim |
|
|
dtype: string |
|
|
- name: normalized |
|
|
dtype: string |
|
|
- name: speaker_id |
|
|
dtype: string |
|
|
- name: scenario |
|
|
dtype: string |
|
|
- name: task_name |
|
|
dtype: string |
|
|
- name: gender |
|
|
dtype: string |
|
|
- name: age_group |
|
|
dtype: string |
|
|
- name: job_type |
|
|
dtype: string |
|
|
- name: qualification |
|
|
dtype: string |
|
|
- name: area |
|
|
dtype: string |
|
|
- name: district |
|
|
dtype: string |
|
|
- name: state |
|
|
dtype: string |
|
|
- name: occupation |
|
|
dtype: string |
|
|
- name: audio |
|
|
dtype: |
|
|
audio: |
|
|
sampling_rate: 48000 |
|
|
- name: utterance_pitch_mean |
|
|
dtype: float64 |
|
|
- name: utterance_pitch_std |
|
|
dtype: float64 |
|
|
- name: snr |
|
|
dtype: float64 |
|
|
- name: c50 |
|
|
dtype: float64 |
|
|
- name: speaking_rate |
|
|
dtype: float64 |
|
|
- name: cer |
|
|
dtype: string |
|
|
- name: duration |
|
|
dtype: float64 |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 47662281716.28999 |
|
|
num_examples: 25202 |
|
|
- name: test |
|
|
num_bytes: 572683111.8775511 |
|
|
num_examples: 363 |
|
|
download_size: 44466622775 |
|
|
dataset_size: 48234964828.16754 |
|
|
- config_name: Punjabi |
|
|
features: |
|
|
- name: text |
|
|
dtype: string |
|
|
- name: lang |
|
|
dtype: string |
|
|
- name: samples |
|
|
dtype: int64 |
|
|
- name: verbatim |
|
|
dtype: string |
|
|
- name: normalized |
|
|
dtype: string |
|
|
- name: speaker_id |
|
|
dtype: string |
|
|
- name: scenario |
|
|
dtype: string |
|
|
- name: task_name |
|
|
dtype: string |
|
|
- name: gender |
|
|
dtype: string |
|
|
- name: age_group |
|
|
dtype: string |
|
|
- name: job_type |
|
|
dtype: string |
|
|
- name: qualification |
|
|
dtype: string |
|
|
- name: area |
|
|
dtype: string |
|
|
- name: district |
|
|
dtype: string |
|
|
- name: state |
|
|
dtype: string |
|
|
- name: occupation |
|
|
dtype: string |
|
|
- name: audio |
|
|
dtype: |
|
|
audio: |
|
|
sampling_rate: 48000 |
|
|
- name: utterance_pitch_mean |
|
|
dtype: float64 |
|
|
- name: utterance_pitch_std |
|
|
dtype: float64 |
|
|
- name: snr |
|
|
dtype: float64 |
|
|
- name: c50 |
|
|
dtype: float64 |
|
|
- name: speaking_rate |
|
|
dtype: float64 |
|
|
- name: cer |
|
|
dtype: string |
|
|
- name: duration |
|
|
dtype: float64 |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 48801794459.4 |
|
|
num_examples: 25768 |
|
|
- name: test |
|
|
num_bytes: 833390891.9508197 |
|
|
num_examples: 588 |
|
|
download_size: 46005835537 |
|
|
dataset_size: 49635185351.35082 |
|
|
- config_name: Sanskrit |
|
|
features: |
|
|
- name: text |
|
|
dtype: string |
|
|
- name: lang |
|
|
dtype: string |
|
|
- name: samples |
|
|
dtype: int64 |
|
|
- name: verbatim |
|
|
dtype: string |
|
|
- name: normalized |
|
|
dtype: string |
|
|
- name: speaker_id |
|
|
dtype: string |
|
|
- name: scenario |
|
|
dtype: string |
|
|
- name: task_name |
|
|
dtype: string |
|
|
- name: gender |
|
|
dtype: string |
|
|
- name: age_group |
|
|
dtype: string |
|
|
- name: job_type |
|
|
dtype: string |
|
|
- name: qualification |
|
|
dtype: string |
|
|
- name: area |
|
|
dtype: string |
|
|
- name: district |
|
|
dtype: string |
|
|
- name: state |
|
|
dtype: string |
|
|
- name: occupation |
|
|
dtype: string |
|
|
- name: audio |
|
|
dtype: |
|
|
audio: |
|
|
sampling_rate: 48000 |
|
|
- name: utterance_pitch_mean |
|
|
dtype: float64 |
|
|
- name: utterance_pitch_std |
|
|
dtype: float64 |
|
|
- name: snr |
|
|
dtype: float64 |
|
|
- name: c50 |
|
|
dtype: float64 |
|
|
- name: speaking_rate |
|
|
dtype: float64 |
|
|
- name: cer |
|
|
dtype: string |
|
|
- name: duration |
|
|
dtype: float64 |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 21231433614.775 |
|
|
num_examples: 12705 |
|
|
- name: test |
|
|
num_bytes: 840746742.9921613 |
|
|
num_examples: 609 |
|
|
download_size: 20843659645 |
|
|
dataset_size: 22072180357.767162 |
|
|
- config_name: Santali |
|
|
features: |
|
|
- name: text |
|
|
dtype: string |
|
|
- name: lang |
|
|
dtype: string |
|
|
- name: samples |
|
|
dtype: int64 |
|
|
- name: verbatim |
|
|
dtype: string |
|
|
- name: normalized |
|
|
dtype: string |
|
|
- name: speaker_id |
|
|
dtype: string |
|
|
- name: scenario |
|
|
dtype: string |
|
|
- name: task_name |
|
|
dtype: string |
|
|
- name: gender |
|
|
dtype: string |
|
|
- name: age_group |
|
|
dtype: string |
|
|
- name: job_type |
|
|
dtype: string |
|
|
- name: qualification |
|
|
dtype: string |
|
|
- name: area |
|
|
dtype: string |
|
|
- name: district |
|
|
dtype: string |
|
|
- name: state |
|
|
dtype: string |
|
|
- name: occupation |
|
|
dtype: string |
|
|
- name: audio |
|
|
dtype: |
|
|
audio: |
|
|
sampling_rate: 48000 |
|
|
- name: utterance_pitch_mean |
|
|
dtype: float64 |
|
|
- name: utterance_pitch_std |
|
|
dtype: float64 |
|
|
- name: snr |
|
|
dtype: float64 |
|
|
- name: c50 |
|
|
dtype: float64 |
|
|
- name: speaking_rate |
|
|
dtype: float64 |
|
|
- name: cer |
|
|
dtype: string |
|
|
- name: duration |
|
|
dtype: float64 |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 53565013650.008 |
|
|
num_examples: 32613 |
|
|
- name: test |
|
|
num_bytes: 725466848.886076 |
|
|
num_examples: 660 |
|
|
download_size: 38807095863 |
|
|
dataset_size: 54290480498.89408 |
|
|
- config_name: Sindhi |
|
|
features: |
|
|
- name: text |
|
|
dtype: string |
|
|
- name: lang |
|
|
dtype: string |
|
|
- name: samples |
|
|
dtype: int64 |
|
|
- name: verbatim |
|
|
dtype: string |
|
|
- name: normalized |
|
|
dtype: string |
|
|
- name: speaker_id |
|
|
dtype: string |
|
|
- name: scenario |
|
|
dtype: string |
|
|
- name: task_name |
|
|
dtype: string |
|
|
- name: gender |
|
|
dtype: string |
|
|
- name: age_group |
|
|
dtype: string |
|
|
- name: job_type |
|
|
dtype: string |
|
|
- name: qualification |
|
|
dtype: string |
|
|
- name: area |
|
|
dtype: string |
|
|
- name: district |
|
|
dtype: string |
|
|
- name: state |
|
|
dtype: string |
|
|
- name: occupation |
|
|
dtype: string |
|
|
- name: audio |
|
|
dtype: |
|
|
audio: |
|
|
sampling_rate: 48000 |
|
|
- name: utterance_pitch_mean |
|
|
dtype: float64 |
|
|
- name: utterance_pitch_std |
|
|
dtype: float64 |
|
|
- name: snr |
|
|
dtype: float64 |
|
|
- name: c50 |
|
|
dtype: float64 |
|
|
- name: speaking_rate |
|
|
dtype: float64 |
|
|
- name: cer |
|
|
dtype: string |
|
|
- name: duration |
|
|
dtype: float64 |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 5489168821.177 |
|
|
num_examples: 3127 |
|
|
- name: test |
|
|
num_bytes: 688693272.9590443 |
|
|
num_examples: 407 |
|
|
download_size: 5871146490 |
|
|
dataset_size: 6177862094.1360445 |
|
|
- config_name: Tamil |
|
|
features: |
|
|
- name: text |
|
|
dtype: string |
|
|
- name: lang |
|
|
dtype: string |
|
|
- name: samples |
|
|
dtype: int64 |
|
|
- name: verbatim |
|
|
dtype: string |
|
|
- name: normalized |
|
|
dtype: string |
|
|
- name: speaker_id |
|
|
dtype: string |
|
|
- name: scenario |
|
|
dtype: string |
|
|
- name: task_name |
|
|
dtype: string |
|
|
- name: gender |
|
|
dtype: string |
|
|
- name: age_group |
|
|
dtype: string |
|
|
- name: job_type |
|
|
dtype: string |
|
|
- name: qualification |
|
|
dtype: string |
|
|
- name: area |
|
|
dtype: string |
|
|
- name: district |
|
|
dtype: string |
|
|
- name: state |
|
|
dtype: string |
|
|
- name: occupation |
|
|
dtype: string |
|
|
- name: audio |
|
|
dtype: |
|
|
audio: |
|
|
sampling_rate: 48000 |
|
|
- name: utterance_pitch_mean |
|
|
dtype: float64 |
|
|
- name: utterance_pitch_std |
|
|
dtype: float64 |
|
|
- name: snr |
|
|
dtype: float64 |
|
|
- name: c50 |
|
|
dtype: float64 |
|
|
- name: speaking_rate |
|
|
dtype: float64 |
|
|
- name: cer |
|
|
dtype: string |
|
|
- name: duration |
|
|
dtype: float64 |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 68139171799.312 |
|
|
num_examples: 39292 |
|
|
- name: test |
|
|
num_bytes: 499088144.2347561 |
|
|
num_examples: 293 |
|
|
download_size: 63139582505 |
|
|
dataset_size: 68638259943.54675 |
|
|
- config_name: Telugu |
|
|
features: |
|
|
- name: text |
|
|
dtype: string |
|
|
- name: lang |
|
|
dtype: string |
|
|
- name: samples |
|
|
dtype: int64 |
|
|
- name: verbatim |
|
|
dtype: string |
|
|
- name: normalized |
|
|
dtype: string |
|
|
- name: speaker_id |
|
|
dtype: string |
|
|
- name: scenario |
|
|
dtype: string |
|
|
- name: task_name |
|
|
dtype: string |
|
|
- name: gender |
|
|
dtype: string |
|
|
- name: age_group |
|
|
dtype: string |
|
|
- name: job_type |
|
|
dtype: string |
|
|
- name: qualification |
|
|
dtype: string |
|
|
- name: area |
|
|
dtype: string |
|
|
- name: district |
|
|
dtype: string |
|
|
- name: state |
|
|
dtype: string |
|
|
- name: occupation |
|
|
dtype: string |
|
|
- name: audio |
|
|
dtype: |
|
|
audio: |
|
|
sampling_rate: 48000 |
|
|
- name: utterance_pitch_mean |
|
|
dtype: float64 |
|
|
- name: utterance_pitch_std |
|
|
dtype: float64 |
|
|
- name: snr |
|
|
dtype: float64 |
|
|
- name: c50 |
|
|
dtype: float64 |
|
|
- name: speaking_rate |
|
|
dtype: float64 |
|
|
- name: cer |
|
|
dtype: string |
|
|
- name: duration |
|
|
dtype: float64 |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 92460055349.504 |
|
|
num_examples: 47208 |
|
|
- name: test |
|
|
num_bytes: 616485791.6785226 |
|
|
num_examples: 339 |
|
|
download_size: 86122150914 |
|
|
dataset_size: 93076541141.18253 |
|
|
- config_name: Urdu |
|
|
features: |
|
|
- name: text |
|
|
dtype: string |
|
|
- name: lang |
|
|
dtype: string |
|
|
- name: samples |
|
|
dtype: int64 |
|
|
- name: verbatim |
|
|
dtype: string |
|
|
- name: normalized |
|
|
dtype: string |
|
|
- name: speaker_id |
|
|
dtype: string |
|
|
- name: scenario |
|
|
dtype: string |
|
|
- name: task_name |
|
|
dtype: string |
|
|
- name: gender |
|
|
dtype: string |
|
|
- name: age_group |
|
|
dtype: string |
|
|
- name: job_type |
|
|
dtype: string |
|
|
- name: qualification |
|
|
dtype: string |
|
|
- name: area |
|
|
dtype: string |
|
|
- name: district |
|
|
dtype: string |
|
|
- name: state |
|
|
dtype: string |
|
|
- name: occupation |
|
|
dtype: string |
|
|
- name: audio |
|
|
dtype: |
|
|
audio: |
|
|
sampling_rate: 48000 |
|
|
- name: utterance_pitch_mean |
|
|
dtype: float64 |
|
|
- name: utterance_pitch_std |
|
|
dtype: float64 |
|
|
- name: snr |
|
|
dtype: float64 |
|
|
- name: c50 |
|
|
dtype: float64 |
|
|
- name: speaking_rate |
|
|
dtype: float64 |
|
|
- name: cer |
|
|
dtype: string |
|
|
- name: duration |
|
|
dtype: float64 |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 51632879167.13201 |
|
|
num_examples: 29324 |
|
|
- name: test |
|
|
num_bytes: 681062699.7224288 |
|
|
num_examples: 470 |
|
|
download_size: 48988047549 |
|
|
dataset_size: 52313941866.85444 |
|
|
configs: |
|
|
- config_name: Assamese |
|
|
data_files: |
|
|
- split: train |
|
|
path: Assamese/train-* |
|
|
- split: test |
|
|
path: Assamese/test-* |
|
|
- config_name: Bengali |
|
|
data_files: |
|
|
- split: train |
|
|
path: Bengali/train-* |
|
|
- split: test |
|
|
path: Bengali/test-* |
|
|
- config_name: Bodo |
|
|
data_files: |
|
|
- split: train |
|
|
path: Bodo/train-* |
|
|
- split: test |
|
|
path: Bodo/test-* |
|
|
- config_name: Dogri |
|
|
data_files: |
|
|
- split: train |
|
|
path: Dogri/train-* |
|
|
- split: test |
|
|
path: Dogri/test-* |
|
|
- config_name: Gujarati |
|
|
data_files: |
|
|
- split: train |
|
|
path: Gujarati/train-* |
|
|
- split: test |
|
|
path: Gujarati/test-* |
|
|
- config_name: Hindi |
|
|
data_files: |
|
|
- split: train |
|
|
path: Hindi/train-* |
|
|
- split: test |
|
|
path: Hindi/test-* |
|
|
- config_name: Kannada |
|
|
data_files: |
|
|
- split: train |
|
|
path: Kannada/train-* |
|
|
- split: test |
|
|
path: Kannada/test-* |
|
|
- config_name: Kashmiri |
|
|
data_files: |
|
|
- split: train |
|
|
path: Kashmiri/train-* |
|
|
- split: test |
|
|
path: Kashmiri/test-* |
|
|
- config_name: Konkani |
|
|
data_files: |
|
|
- split: train |
|
|
path: Konkani/train-* |
|
|
- split: test |
|
|
path: Konkani/test-* |
|
|
- config_name: Maithili |
|
|
data_files: |
|
|
- split: train |
|
|
path: Maithili/train-* |
|
|
- split: test |
|
|
path: Maithili/test-* |
|
|
- config_name: Malayalam |
|
|
data_files: |
|
|
- split: train |
|
|
path: Malayalam/train-* |
|
|
- split: test |
|
|
path: Malayalam/test-* |
|
|
- config_name: Manipuri |
|
|
data_files: |
|
|
- split: train |
|
|
path: Manipuri/train-* |
|
|
- split: test |
|
|
path: Manipuri/test-* |
|
|
- config_name: Marathi |
|
|
data_files: |
|
|
- split: train |
|
|
path: Marathi/train-* |
|
|
- split: test |
|
|
path: Marathi/test-* |
|
|
- config_name: Nepali |
|
|
data_files: |
|
|
- split: train |
|
|
path: Nepali/train-* |
|
|
- split: test |
|
|
path: Nepali/test-* |
|
|
- config_name: Odia |
|
|
data_files: |
|
|
- split: train |
|
|
path: Odia/train-* |
|
|
- split: test |
|
|
path: Odia/test-* |
|
|
- config_name: Punjabi |
|
|
data_files: |
|
|
- split: train |
|
|
path: Punjabi/train-* |
|
|
- split: test |
|
|
path: Punjabi/test-* |
|
|
- config_name: Sanskrit |
|
|
data_files: |
|
|
- split: train |
|
|
path: Sanskrit/train-* |
|
|
- split: test |
|
|
path: Sanskrit/test-* |
|
|
- config_name: Santali |
|
|
data_files: |
|
|
- split: train |
|
|
path: Santali/train-* |
|
|
- split: test |
|
|
path: Santali/test-* |
|
|
- config_name: Sindhi |
|
|
data_files: |
|
|
- split: train |
|
|
path: Sindhi/train-* |
|
|
- split: test |
|
|
path: Sindhi/test-* |
|
|
- config_name: Tamil |
|
|
data_files: |
|
|
- split: train |
|
|
path: Tamil/train-* |
|
|
- split: test |
|
|
path: Tamil/test-* |
|
|
- config_name: Telugu |
|
|
data_files: |
|
|
- split: train |
|
|
path: Telugu/train-* |
|
|
- split: test |
|
|
path: Telugu/test-* |
|
|
- config_name: Urdu |
|
|
data_files: |
|
|
- split: train |
|
|
path: Urdu/train-* |
|
|
- split: test |
|
|
path: Urdu/test-* |
|
|
license: cc-by-4.0 |
|
|
task_categories: |
|
|
- text-to-speech |
|
|
language: |
|
|
- as |
|
|
- bn |
|
|
- gu |
|
|
- hi |
|
|
- kn |
|
|
- ks |
|
|
- ml |
|
|
- mr |
|
|
- ne |
|
|
- or |
|
|
- pa |
|
|
- sa |
|
|
- ta |
|
|
- te |
|
|
- ur |
|
|
pretty_name: indicvoices-r |
|
|
--- |
|
|
|
|
|
# IndicVoices-R: Multilingual, Multi-Speaker Speech Corpus for Indian TTS |
|
|
|
|
|
[](https://proceedings.neurips.cc/paper_files/paper/2024/file/7dfcaf4512bbf2a807a783b90afb6c09-Paper-Datasets_and_Benchmarks_Track.pdf) |
|
|
|
|
|
|
|
|
## Dataset Summary |
|
|
**IndicVoices-R (IV-R)** is the largest multilingual Indian text-to-speech (TTS) dataset derived from an automatic speech recognition (ASR) dataset. It contains **1,704 hours** of high-quality speech from **10,496 speakers** across **22 Indian languages**. This dataset is designed to enhance the development of robust Indian TTS models by providing diverse speaker demographics, natural conversational speech, and high-quality audio samples. |
|
|
|
|
|
## Key Features |
|
|
- **Comprehensive Coverage**: Includes **all 22 scheduled Indian languages**, ranging from **9 to 175 hours per language**. |
|
|
- **Speaker Diversity**: **10,496 speakers**, ensuring rich demographic and linguistic variation. |
|
|
- **High-Quality Samples**: Speech quality comparable to **gold-standard TTS datasets** (LJSpeech, LibriTTS, IndicTTS). |
|
|
- **Natural Speech Recordings**: **93.25% extempore speech**, leading to more expressive and natural-sounding synthesis. |
|
|
- **Zero-shot, Few-shot, and Many-shot Benchmarking**: Includes a **benchmark dataset** for evaluating speaker generalization capabilities of TTS models. |
|
|
|
|
|
## Data Processing Pipeline |
|
|
The dataset was created by restoring and enhancing ASR-quality speech using: |
|
|
1. **Demixing**: HTDemucs model to separate speech from background noise. |
|
|
2. **Dereverberation**: VoiceFixer to reduce reverb and enhance speech clarity. |
|
|
3. **Speech Enhancement**: DeepFilterNet3 to remove remaining artifacts. |
|
|
4. **Filtering**: Samples filtered based on **speech clarity, SNR, pitch variation, and speaking rate**. |
|
|
5. **Normalization**: Volume adjusted using PyDub for consistency. |
|
|
|
|
|
## Dataset Format |
|
|
Each entry in the dataset includes: |
|
|
- **Audio file**: `.wav` format, 48 kHz sampling rate. |
|
|
- **Text transcript**: Available in both verbatim and normalized formats. |
|
|
- **Metadata JSON**: Includes speaker ID, gender, age group, duration, and language. |
|
|
|
|
|
## Benchmarks & Evaluation |
|
|
IndicVoices-R includes a **benchmark suite** to evaluate **zero-shot, few-shot, and many-shot** TTS model performance across different demographics and speech styles. |
|
|
|
|
|
### Key Evaluation Metrics: |
|
|
- **NORESQA-MOS**: Measures naturalness of synthesized speech. |
|
|
- **SNR & C50**: Assess speech clarity and reverberation levels. |
|
|
- **Speaker Similarity (S-SIM)**: Evaluates zero-shot speaker generalization. |
|
|
|
|
|
## Usage & Applications |
|
|
IndicVoices-R can be used for: |
|
|
- **Training multilingual TTS models** with high speaker diversity. |
|
|
- **Improving zero-shot speaker generalization** for Indian languages. |
|
|
- **Building expressive and natural-sounding synthetic voices**. |
|
|
- **Evaluating TTS performance** with a standardized benchmark. |
|
|
|
|
|
## License |
|
|
CC-BY-4.0 |
|
|
|
|
|
## Acknowledgements |
|
|
This project was supported by Digital India Bhashini, the Ministry of Electronics and Information Technology (Government of India), |
|
|
EkStep Foundation, and Nilekani Philanthropies. Special thanks to CDAC Pune for access to the PARAM-Siddhi supercomputer, |
|
|
enabling our speech enhancement pipeline and model training. We also appreciate the unwavering support from the AI4Bharat team. |
|
|
|
|
|
## Citation |
|
|
If you use IndicVoices-R, please cite the following paper: |
|
|
``` |
|
|
@inproceedings{ai4bharat2024indicvoices_r, |
|
|
author = {Ashwin Sankar and |
|
|
Srija Anand and |
|
|
Praveen Srinivasa Varadhan and |
|
|
Sherry Thomas and |
|
|
Mehak Singal and |
|
|
Shridhar Kumar and |
|
|
Deovrat Mehendale and |
|
|
Aditi Krishana and |
|
|
Giri Raju and |
|
|
Mitesh M. Khapra}, |
|
|
editor = {Amir Globersons and |
|
|
Lester Mackey and |
|
|
Danielle Belgrave and |
|
|
Angela Fan and |
|
|
Ulrich Paquet and |
|
|
Jakub M. Tomczak and |
|
|
Cheng Zhang}, |
|
|
title = {IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech |
|
|
Corpus for Scaling Indian {TTS}}, |
|
|
booktitle = {Advances in Neural Information Processing Systems 38: Annual Conference |
|
|
on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, |
|
|
BC, Canada, December 10 - 15, 2024}, |
|
|
year = {2024}, |
|
|
url = {http://papers.nips.cc/paper\_files/paper/2024/hash/7dfcaf4512bbf2a807a783b90afb6c09-Abstract-Datasets\_and\_Benchmarks\_Track.html}, |
|
|
} |
|
|
``` |
