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--- |
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license: apache-2.0 |
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task_categories: |
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- automatic-speech-recognition |
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- text-to-speech |
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language: |
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- dv |
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tags: |
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- audio |
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- dhivehi |
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- yag |
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- speech |
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- president |
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- political |
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size_categories: |
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- 1K<n<10K |
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--- |
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# Dataset Card for Dhivehi Presidential Speech 1.0 |
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### Dataset Summary |
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Dhivehi Presidential Speech is a Dhivehi speech dataset created from data extracted and processed by [Sofwath](https://github.com/Sofwath) as part of a collection of Dhivehi datasets found [here](https://github.com/Sofwath/DhivehiDatasets). |
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The dataset contains around 2.5 hrs (1 GB) of speech collected from Maldives President's Office consisting of 7 speeches given by President Yaameen Abdhul Gayyoom. |
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### Supported Tasks and Leaderboards |
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- Automatic Speech Recognition |
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- Text-to-Speech |
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### Languages |
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Dhivehi |
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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 and its sentence. |
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```json |
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{ |
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'path': 'dv-presidential-speech-train/waves/YAG2_77.wav', |
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'sentence': 'އަދި އަޅުގަނޑުމެންގެ ސަރަޙައްދުގައިވެސް މިކަހަލަ ބޭބޭފުޅުން', |
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'audio': { |
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'path': 'dv-presidential-speech-train/waves/YAG2_77.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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}, |
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} |
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``` |
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### Data Fields |
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- path (string): The path to the audio file. |
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- sentence (string): The transcription for the audio file. |
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- audio (dict): 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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### Data Splits |
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The speech material has been subdivided into portions for train, test and validation. The test clips were generated from a speech not in the train split. For the validation split, there is a slight overlap of 1 speech in the train set. |
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| | Train | Validation | Test | |
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| ---------------- | -------- | ---------- | ----- | |
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| Speakers | 1 | 1 | 1 | |
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| Utterances | 1612 | 200 | 200 | |
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| Duration | 02:14:59 | 17:02 | 13:30 | |
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## Dataset Creation |
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### Curation Rationale |
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[More Information Needed] |
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### Source Data |
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#### Initial Data Collection and Normalization |
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Extracted and processed by [Sofwath](https://github.com/Sofwath) as part of a collection of Dhivehi datasets found [here](https://github.com/Sofwath/DhivehiDatasets). |
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#### Who are the source language producers? |
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[More Information Needed] |
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### Annotations |
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#### Annotation process |
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[More Information Needed] |
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#### Who are the annotators? |
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[More Information Needed] |
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### Personal and Sensitive Information |
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[More Information Needed] |
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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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[More Information Needed] |
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## Additional Information |
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### Dataset Curators |
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[More Information Needed] |
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### Licensing Information |
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[More Information Needed] |
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### Citation Information |
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[More Information Needed] |
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### Contributions |
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[More Information Needed] |
