|
|
--- |
|
|
YAML tags: |
|
|
- copy-paste the tags obtained with the tagging app: https://github.com/huggingface/datasets-tagging |
|
|
--- |
|
|
|
|
|
# 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/speechrecog/946?source=Huggingface |
|
|
- **Repository:** |
|
|
- **Paper:** |
|
|
- **Leaderboard:** |
|
|
- **Point of Contact:** |
|
|
|
|
|
### Dataset Summary |
|
|
|
|
|
This dataset is just a sample of 824 Hours Hindi Speech Data by Mobile Phone(paid dataset),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 & to download the rest of the dataset(paid),please refer to the link: https://www.nexdata.ai/datasets/speechrecog/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 |
|
|
|
|
|
### Citation Information |
|
|
|
|
|
[More Information Needed] |
|
|
|
|
|
### Contributions |
