| --- |
| license: apache-2.0 |
| task_categories: |
| - automatic-speech-recognition |
| - text-to-speech |
| language: |
| - dv |
| tags: |
| - audio |
| - dhivehi |
| - speech |
| - khadheeja |
| - narrated |
| size_categories: |
| - 1K<n<10K |
| --- |
| # Dataset Card for Dhivehi Khadheeja Speech 1.0 |
|
|
|
|
| ### Dataset Summary |
|
|
| Dhivehi Khadheeja Speech is a single speaker Dhivehi speech dataset created by [Javaabu Pvt. Ltd.](https://javaabu.com). |
|
|
| The dataset contains around 20 hrs of text read by professional Maldivian narrator Khadheeja Faaz. |
| The text used for the recordings were text scrapped from various Maldivian news websites. |
|
|
| ### Supported Tasks and Leaderboards |
|
|
| - Automatic Speech Recognition |
| - Text-to-Speech |
|
|
| ### Languages |
|
|
| Dhivehi |
|
|
| ## Dataset Structure |
|
|
| ### Data Instances |
|
|
| A typical data point comprises the path to the audio file and its sentence. |
|
|
| ```json |
| { |
| 'path': 'dhivehi-khadheeja-speech-train/waves/khadeejafaaz_6_1498pmzd.wav', |
| 'sentence': 'އެއްވެސް ފިޔަވަޅެއް އެޅި ކަން އެނގިވަޑައިގެންފައި ނުވާ ކަމަށާއި އެފަދަ ފިޔަވަޅެއް އަޅާފައިވާ ނަމަ އެކަން', |
| 'sentence_normalized': 'އެއްވެސް ފިޔަވަޅެއް އެޅި ކަން އެނގިވަޑައިގެންފައި ނުވާ ކަމަށާއި އެފަދަ ފިޔަވަޅެއް އަޅާފައިވާ ނަމަ އެކަން', |
| 'audio': { |
| 'path': 'dhivehi-khadheeja-speech-train/waves/khadeejafaaz_6_1498pmzd.wav', |
| 'array': array([-0.00048828, -0.00018311, -0.00137329, ..., 0.00079346, 0.00091553, 0.00085449], dtype=float32), |
| 'sampling_rate': 48000 |
| }, |
| } |
| |
| ``` |
|
|
| ### Data Fields |
|
|
| - path (string): The path to the audio file. |
|
|
| - sentence (string): The transcription for the audio file. |
|
|
| - sentence_normalized (string): The normalized transcription for the audio file with digits normalized to text. |
| |
| - 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]. |
|
|
| ### Data Splits |
|
|
| The speech material has been subdivided into portions for train, test and validation. |
|
|
| | | Train | Validation | Test | Total | |
| | ---------------- |----------|------------|----------|----------| |
| | Utterances | 9307 | 1164 | 1164 | 11635 | |
| | Duration | 15:49:13 | 01:59:46 | 02:11:28 | 20:00:27 | |
|
|
| ## Dataset Creation |
|
|
| ### 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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| Data was collected through the AduEhy TTS Management System developed Javaabu. |
| The narrator was shown text snippets one at a time, which were then read and recorded through the browser. |
| Text normalization has been performed, which involved replacing multiple whitespaces and new lines with single spaces and converting digits to spoken form. |
|
|
| #### Who are the source language producers? |
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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 |
|
|
| [More Information Needed] |
|
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| ### Licensing Information |
|
|
| [More Information Needed] |
|
|
| ### Citation Information |
|
|
| ``` |
| @misc{Javaabu_2023, |
| title = "Dhivehi Khadheeja Speech Dataset", |
| url = "https://huggingface.co/datasets/javaabu/dhivehi-khadheeja-speech", |
| journal = "Hugging Face", |
| author = {{Javaabu Pvt. Ltd.}}, |
| year = "2023", |
| month = jul |
| } |
| ``` |
|
|
| ### Contributions |
|
|
| - [Arushad Ahmed](https://arushad.org) |
| - [Mohamed Jailam](https://github.com/muhammedjailam) |
| - [Ibrahim Shareef](https://github.com/ihshareef) |
