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--- |
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license: cc-by-4.0 |
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dataset_info: |
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features: |
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- name: file |
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dtype: string |
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- name: audio |
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struct: |
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- name: array |
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sequence: float64 |
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- name: sampling_rate |
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dtype: int64 |
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- name: label |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 81702927880 |
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num_examples: 83004 |
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|
- name: test |
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|
num_bytes: 4641164160 |
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num_examples: 4136 |
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download_size: 21519832848 |
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dataset_size: 86344092040 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: test |
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path: data/test-* |
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--- |
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This paper introduces the first public dataset for Speaker recognition in the Vietnamese language. The paper has been accepted to Interspeech 2023: [paper](https://www.isca-archive.org/interspeech_2023/pham23b_interspeech.html). |
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The official GitHub page: https://github.com/thanhpv2102/Vietnam-Celeb.Interspeech |
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The test lists can be downloaded [here](https://drive.google.com/drive/folders/1m8o7erEyUJjrbQHxMia9tPzMM2GAjjSt?usp=sharing). |
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Please cite as: |
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``` |
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@inproceedings{pham23b_interspeech, |
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title = {Vietnam-Celeb: a large-scale dataset for Vietnamese speaker recognition}, |
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author = {Viet Thanh Pham and Xuan Thai Hoa Nguyen and Vu Hoang and Thi Thu Trang Nguyen}, |
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year = {2023}, |
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booktitle = {Interspeech 2023}, |
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pages = {1918--1922}, |
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doi = {10.21437/Interspeech.2023-1989}, |
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issn = {2958-1796}, |
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} |
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``` |
