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Dataset Card for Datatang/Wuhan_Dialect_Speech_Data_by_Mobile_Phone

Table of Contents

Dataset Description

Dataset Summary

Mobile phone captured audio data of Wuhan dialect, 997 hours in total, recorded by more than 2,000 Wuhan dialect native speakers. The recorded text covers generic, interactive, on-board, home and other categories, with rich contents. Wuhan locals participate in quality check and proofreading. Sentence accuracy rate reaches 95 %; this data set can be used for automatic speech recognition, machine translation, and voiceprint recognition.

For more details, please refer to the link: https://bit.ly/3bbSVdT

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

Wuhan Dialect

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