Nexdata/Hindi_Speech_Data_by_Mobile_Phone

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# Dataset Card for Nexdata/Hindi_Speech_Data_by_Mobile_Phone

## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)

## Dataset Description

- **Homepage:** https://www.nexdata.ai/datasets/946?source=Huggingface
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**

### Dataset Summary

The data is 824 hours long and was recorded by 1,500 Indian native speakers. The accent is authentic. The recording text is designed by language experts and covers general, interactive, car, home and other categories. The text is manually proofread, and the accuracy is high. Recording devices are mainstream Android phones and iPhones. It can be applied to speech recognition, machine translation, and voiceprint recognition.

For more details, please refer to the link: https://www.nexdata.ai/datasets/946?source=Huggingface

### Supported Tasks and Leaderboards

automatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).

### Languages

Hindi
## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### Data Splits

[More Information Needed]

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### 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

Commerical License: https://drive.google.com/file/d/1saDCPm74D4UWfBL17VbkTsZLGfpOQj1J/view?usp=sharing

### Citation Information

[More Information Needed]

### Contributions

原始信息汇总

数据集概述

数据集名称

• 名称: Nexdata/Hindi_Speech_Data_by_Mobile_Phone

数据集描述

数据集总结

• 时长: 824小时
• 录制者: 1,500名印度本土说话者
• 语言: 印地语
• 内容: 涵盖一般、交互、车载、家庭等多个类别
• 设备: 主流Android手机和iPhone
• 应用: 语音识别、机器翻译、声纹识别

支持的任务和排行榜

• 任务: 自动语音识别（ASR）、音频说话人识别

数据集结构

数据实例

• 信息: 待补充

数据字段

• 信息: 待补充

数据分割

• 信息: 待补充

数据集创建

来源数据

• 初始数据收集和标准化: 待补充
• 源语言生产者: 待补充

注释

• 注释过程: 待补充
• 注释者: 待补充

个人和敏感信息

• 信息: 待补充

使用数据的考虑

数据集的社会影响

• 信息: 待补充

偏见的讨论

• 信息: 待补充

其他已知限制

• 信息: 待补充

附加信息

数据集管理者

• 信息: 待补充

许可信息

• 许可类型: 商业许可
• 许可链接: 商业许可

引用信息

• 信息: 待补充