dash8x/dv-presidential-speech

---
license: apache-2.0
task_categories:
- automatic-speech-recognition
- text-to-speech
language:
- dv
tags:
- audio
- dhivehi
- yag
- speech
- president
- political
size_categories:
- 1K<n<10K
---
# Dataset Card for Dhivehi Presidential Speech 1.0

### Dataset Summary

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).

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.

### 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': 'dv-presidential-speech-train/waves/YAG2_77.wav',
'sentence': 'އަދި އަޅުގަނޑުމެންގެ ސަރަޙައްދުގައިވެސް މިކަހަލަ ބޭބޭފުޅުން',
'audio': {
'path': 'dv-presidential-speech-train/waves/YAG2_77.wav',
'array': array([-0.00048828, -0.00018311, -0.00137329, ..., 0.00079346, 0.00091553, 0.00085449], dtype=float32),
'sampling_rate': 16000
},
}

```

### Data Fields

- path (string): The path to the audio file.

- sentence (string): The transcription for the audio file.

- 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. 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.

| | Train | Validation | Test |
| ---------------- | -------- | ---------- | ----- |
| Speakers | 1 | 1 | 1 |
| Utterances | 1612 | 200 | 200 |
| Duration | 02:14:59 | 17:02 | 13:30 |

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

Extracted and processed by [Sofwath](https://github.com/Sofwath) as part of a collection of Dhivehi datasets found [here](https://github.com/Sofwath/DhivehiDatasets).

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

[More Information Needed]

### Contributions

[More Information Needed]

原始信息汇总

数据集概述

数据集名称

Dhivehi Presidential Speech 1.0

数据集摘要

Dhivehi Presidential Speech是一个由Sofwath创建的Dhivehi语音数据集，包含从马尔代夫总统办公室收集的7个总统Yaameen Abdhul Gayyoom的演讲，总时长约2.5小时（1 GB）。

支持的任务

• 自动语音识别
• 文本到语音转换

语言

Dhivehi

数据集结构

数据实例

每个数据点包含音频文件的路径及其对应的句子。

json { path: dv-presidential-speech-train/waves/YAG2_77.wav,
sentence: އަދި އަޅުގަނޑުމެންގެ ސަރަޙައްދުގައިވެސް މިކަހަލަ ބޭބޭފުޅުން, audio: { path: dv-presidential-speech-train/waves/YAG2_77.wav, array: array([-0.00048828, -0.00018311, -0.00137329, ..., 0.00079346, 0.00091553, 0.00085449], dtype=float32), sampling_rate: 16000 }, }

数据字段

• path (字符串): 音频文件的路径。
• sentence (字符串): 音频文件的转录文本。
• audio (字典): 包含下载的音频文件路径、解码后的音频数组和采样率。

数据分割

数据集被分为训练、验证和测试集。测试集来自未包含在训练集中的演讲，验证集与训练集有轻微重叠。

	训练	验证	测试
发言人	1	1	1
话语数	1612	200	200
时长	02:14:59	17:02	13:30

搜集汇总

背景与挑战

背景概述

Dhivehi Presidential Speech是一个迪维希语语音数据集，包含约2.5小时（1GB）来自马尔代夫总统办公室的演讲音频，由总统亚明·阿卜杜勒·加尧姆的7次演讲构成。该数据集支持自动语音识别和文本到语音任务，数据分为训练、验证和测试集，总共有约2012个话语，适用于低资源语言处理研究。