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--- |
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pretty_name: VIVOS |
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annotations_creators: |
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- expert-generated |
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language_creators: |
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- crowdsourced |
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- expert-generated |
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language: |
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- vi |
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license: |
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- cc-by-nc-sa-4.0 |
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multilinguality: |
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- monolingual |
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size_categories: |
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- 10K<n<100K |
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source_datasets: |
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- original |
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task_categories: |
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- automatic-speech-recognition |
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task_ids: [] |
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dataset_info: |
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features: |
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- name: speaker_id |
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dtype: string |
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- name: path |
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dtype: string |
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- name: audio |
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dtype: |
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audio: |
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sampling_rate: 16000 |
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- name: sentence |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 1722002133 |
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num_examples: 11660 |
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- name: test |
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num_bytes: 86120227 |
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num_examples: 760 |
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download_size: 1475540500 |
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dataset_size: 1808122360 |
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--- |
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# Dataset Card for VIVOS |
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## Table of Contents |
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- [Dataset Card for VIVOS](#dataset-card-for-vivos) |
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- [Table of Contents](#table-of-contents) |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Initial Data Collection and Normalization](#initial-data-collection-and-normalization) |
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- [Who are the source language producers?](#who-are-the-source-language-producers) |
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- [Annotations](#annotations) |
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- [Annotation process](#annotation-process) |
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- [Who are the annotators?](#who-are-the-annotators) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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## Dataset Description |
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- **Homepage:** https://doi.org/10.5281/zenodo.7068130 |
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- **Repository:** [Needs More Information] |
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- **Paper:** [A non-expert Kaldi recipe for Vietnamese Speech Recognition System](https://aclanthology.org/W16-5207/) |
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- **Leaderboard:** [Needs More Information] |
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- **Point of Contact:** [AILAB](mailto:ailab@hcmus.edu.vn) |
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### Dataset Summary |
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VIVOS is a free Vietnamese speech corpus consisting of 15 hours of recording speech prepared for Vietnamese Automatic Speech Recognition task. |
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The corpus was prepared by AILAB, a computer science lab of VNUHCM - University of Science, with Prof. Vu Hai Quan is the head of. |
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We publish this corpus in hope to attract more scientists to solve Vietnamese speech recognition problems. |
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### Supported Tasks and Leaderboards |
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[Needs More Information] |
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### Languages |
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Vietnamese |
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## Dataset Structure |
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### Data Instances |
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A typical data point comprises the path to the audio file, called `path` and its transcription, called `sentence`. Some additional information about the speaker and the passage which contains the transcription is provided. |
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``` |
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{'speaker_id': 'VIVOSSPK01', |
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'path': '/home/admin/.cache/huggingface/datasets/downloads/extracted/b7ded9969e09942ab65313e691e6fc2e12066192ee8527e21d634aca128afbe2/vivos/train/waves/VIVOSSPK01/VIVOSSPK01_R001.wav', |
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'audio': {'path': '/home/admin/.cache/huggingface/datasets/downloads/extracted/b7ded9969e09942ab65313e691e6fc2e12066192ee8527e21d634aca128afbe2/vivos/train/waves/VIVOSSPK01/VIVOSSPK01_R001.wav', |
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'array': array([-0.00048828, -0.00018311, -0.00137329, ..., 0.00079346, 0.00091553, 0.00085449], dtype=float32), |
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'sampling_rate': 16000}, |
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'sentence': 'KHÁCH SẠN'} |
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``` |
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### Data Fields |
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- speaker_id: An id for which speaker (voice) made the recording |
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- path: The path to the audio file |
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- audio: A dictionary containing the path to the downloaded audio file, the decoded audio array, and the sampling rate. Note that when accessing the audio column: `dataset[0]["audio"]` the audio file is automatically decoded and resampled to `dataset.features["audio"].sampling_rate`. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus it is important to first query the sample index before the `"audio"` column, *i.e.* `dataset[0]["audio"]` should **always** be preferred over `dataset["audio"][0]`. |
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- sentence: The sentence the user was prompted to speak |
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### Data Splits |
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The speech material has been subdivided into portions for train and test. |
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Speech was recorded in a quiet environment with high quality microphone, speakers were asked to read one sentence at a time. |
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| | Train | Test | |
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| ---------------- | ----- | ----- | |
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| Speakers | 46 | 19 | |
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| Utterances | 11660 | 760 | |
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| Duration | 14:55 | 00:45 | |
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| Unique Syllables | 4617 | 1692 | |
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## Dataset Creation |
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### Curation Rationale |
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[Needs More Information] |
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### Source Data |
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#### Initial Data Collection and Normalization |
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[Needs More Information] |
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#### Who are the source language producers? |
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[Needs More Information] |
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### Annotations |
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#### Annotation process |
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[Needs More Information] |
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#### Who are the annotators? |
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[Needs More Information] |
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### Personal and Sensitive Information |
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The dataset consists of people who have donated their voice online. You agree to not attempt to determine the identity of speakers in this dataset. |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed] |
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### Discussion of Biases |
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[More Information Needed] |
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### Other Known Limitations |
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Dataset provided for research purposes only. Please check dataset license for additional information. |
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## Additional Information |
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### Dataset Curators |
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The dataset was initially prepared by AILAB, a computer science lab of VNUHCM - University of Science. |
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### Licensing Information |
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Public Domain, Creative Commons Attribution NonCommercial ShareAlike v4.0 ([CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode)) |
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### Citation Information |
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``` |
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@inproceedings{luong-vu-2016-non, |
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title = "A non-expert {K}aldi recipe for {V}ietnamese Speech Recognition System", |
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author = "Luong, Hieu-Thi and |
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Vu, Hai-Quan", |
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booktitle = "Proceedings of the Third International Workshop on Worldwide Language Service Infrastructure and Second Workshop on Open Infrastructures and Analysis Frameworks for Human Language Technologies ({WLSI}/{OIAF}4{HLT}2016)", |
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month = dec, |
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year = "2016", |
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address = "Osaka, Japan", |
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publisher = "The COLING 2016 Organizing Committee", |
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url = "https://aclanthology.org/W16-5207", |
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pages = "51--55", |
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} |
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``` |
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### Contributions |
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Thanks to [@binh234](https://github.com/binh234) for adding this dataset. |
