Classroom Explanation Chinese Voice Content Classification Dataset
#audio classification #voice recognition #natural language processing #classroom teaching #online education #voice recognition #educational content analysis
- Records
- 500 hours
- Size
- 1.3G
- Format
- WAV
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
AI Analysis & Value Prop
In the education and training industry, with the booming development of online education and digital classrooms, a vast amount of voice explanation content needs to be efficiently managed and analyzed, which is a major challenge currently faced. Existing audio content classification methods typically rely on manual labeling and analysis, which are inefficient and prone to bias. This dataset aims to provide high-quality voice data to solve the technical challenges of automatic classification and analysis of voice content, meeting the business needs of precise educational content distribution and intelligent learning assistance. Data collection uses high-sensitivity microphones and professional recording equipment in real classroom environments. To ensure high quality of voice data, we used multiple rounds of annotation and consistency checks, with a labeling team consisting of linguistics experts and education specialists, scaling up to 20 people. Data preprocessing includes noise elimination, voice segmentation, and feature extraction, stored in WAV format, combined with JSON files to record annotation information and metadata.
Overview
Dataset Insights
Preview
Sample Examples
263a54d657e6017dd6f868ee1702b0d1.wav|44100
- 263a54d657e6017dd6f868ee1702b0d1.wav08:09
- a422b0003ed626d2dd2735b7a31c3c7d.wav06:13
- d0d3ef285436a4d83a07e906ce1e8bb2.wav01:30
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| duration | string | Duration |
| audio_rate | string | Audio sample rate |
| audio_channel | string | Audio channel |
| speaker_gender | string | The gender of the speaker in the audio. |
| speaker_age_group | string | The age group of the speaker in the audio. |
| language | string | The language used in the audio. |
| accent | string | The type of accent the speaker has in the audio. |
| speaking_rate | float | The average speaking rate of the speaker in the audio, measured in words per minute. |
| emotional_tone | string | The emotional tone conveyed in the audio. |
| background_noise | string | Indicates the presence and type of background noise in the audio. |
| content_topic | string | The topic covered by the content in the audio. |
| complexity_level | string | The level of complexity of the content in the audio, such as basic, intermediate, or advanced. |
| transcription | text | The textual transcription of the audio content. |
Trust
Compliance Statement
Authorization Type
Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use
Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization
No PII, no real company names, simulated scenarios follow industry standards
Compliance System
Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs
FAQ
Frequently Asked Questions
- What types of audio does the Classroom Lecture Audio Content Classification Dataset include?
- The dataset includes various types of classroom lecture audio, such as lectures, discussions, and presentations.
- How does this dataset help improve the efficiency of the education and training industry?
- By effectively classifying classroom lecture content, it can optimize the organization and retrieval of teaching materials, thereby enhancing learning and teaching efficiency.
- What technical skills are required to use this dataset?
- Skills in audio processing and machine learning are needed for data analysis and model training.
- What educational scenarios is this dataset suitable for?
- It is suitable for applications such as content classification on online education platforms, intelligent recommendation systems in educational software, and classroom teaching quality assessment.
- What are the main applications of the dataset in the education and training field?
- The main applications include automated classification and tagging of classroom audio content, assisting in the digital management of teaching resources, and analyzing teaching effectiveness.
Can't find the data you need?
Post a request and let data providers reach out to you.
Get this Dataset
High-quality data, ready for your next AI breakthrough.
Cite this Work
@dataset{Mobiusi2026,
title={Classroom Explanation Chinese Voice Content Classification Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/7affccaa0e2faf2458172d935376d940?dataset_task_cate_id=1},
urldate={2026-02-04},
keywords={voice classification, educational audio data, classroom explanation, voice recognition},
version={1.0}
}Using this in research? Please cite us.
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder