Home Appliance Chinese Voice Command Recognition Audio Dataset
#voice recognition #natural language processing #command recognition #smart appliances #voice control #human-machine interaction
- 500 hours
- 1.3G
- WAV
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
Currently, smart appliances are increasingly used in home, office, and other settings, but challenges such as insufficient voice control accuracy and frequent recognition errors remain prevalent in the industry. Existing solutions mostly rely on basic voice recognition technology and cannot optimize for specific command scenarios, affecting user experience. This dataset aims to solve technical problems in command recognition for appliance voice control, improving interaction precision and response speed. The dataset is collected using professional recording equipment in home environments and includes recordings of various common appliance control commands. In terms of quality control, three rounds of professional annotation and consistency checks were conducted, reviewed by experts with backgrounds in voice processing. The annotation team consists of 10 members, ensuring data accuracy. Preprocessing steps include noise reduction and voice slicing using advanced audio processing algorithms. Data is organized in WAV format for efficient training and model integration.
Dataset Insights
Sample Examples
58a302b1e67d733109cc948e624d8385.wav
- 58a302b1e67d733109cc948e624d8385.wav00:00
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| duration | string | Duration |
| audio_rate | string | Audio sample rate |
| audio_channel | string | Audio channel |
| language | string | The language used in the audio. |
| accent | string | The type of accent of the speaker. |
| gender | string | The gender of the speaker. |
| age_group | string | The age group of the speaker. |
| emotion | string | The emotion conveyed in the audio. |
| background_noise | string | The background noise present in the audio. |
| speech_rate | string | The rate of speech of the speaker. |
| speaker_id | string | A unique ID to identify a specific speaker. |
| command_type | string | The type of command included in the audio. |
| speech_recognition_accuracy | float | The accuracy of the speech recognition system for this audio. |
Compliance Statement
| Authorization Type | CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike) |
| 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 |
Frequently Asked Questions
- What are the application scenarios of the Home Appliance Voice Command Recognition Audio Dataset?
- This dataset is primarily used in the smart devices field, especially for the development and testing of home appliance voice control.
- How does this dataset help improve the user experience of smart devices?
- By accurately recognizing users' voice commands, this dataset can be used to enhance the interactivity and convenience of home appliances.
- What are the key challenges in home appliance voice command recognition?
- Noise interference, dialects, accents, and the distinction between similar commands are key challenges in voice recognition.
- Why is audio data crucial in voice control?
- Audio data forms the foundation of voice recognition systems, providing the information needed to analyze and train for command recognition.
- How can this dataset be used to train machine learning models?
- The dataset can be used to train models to improve their accuracy and efficiency in recognizing home appliance voice commands.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Home Appliance Chinese Voice Command Recognition Audio Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/00a29dd6ede64852f681250b5b11ff9e},
urldate={2026-02-04},
keywords={smart device voice control, appliance command recognition, audio dataset},
version={1.0}
}Using this in research? Please cite us.
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