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YAML tags:
  - copy-paste the tags obtained with the tagging app: https://github.com/huggingface/datasets-tagging
task_categories:
  - automatic-speech-recognition
language:
  - zh

Dataset Card for Nexdata/Mandarin_Spontaneous_Speech_Data_by_Mobile_Phone

Table of Contents

Dataset Description

Dataset Summary

The data were recorded by 700 Mandarin speakers, 65% of whom were women. There is no pre-made text, and speakers makes phone calls in a natural way while recording the contents of the calls. This data mainly labels the near-end speech, and the speech content is naturally colloquial.

For more details, please refer to the link: https://www.nexdata.ai/datasets/77?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

Mandarin

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