Mobiusi

Nurse Station Call Chinese Voice Command Recognition Dataset

#voice recognition #command classification #natural language processing #medical call systems #intelligent care #hospital automation
  • 500 hours
  • 1.6G
  • WAV
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-02-04

AI Analysis & Value Prop

The dataset provides high-quality voice samples, maintaining over 90% recognition accuracy even in noisy environments, with annotation consistency reaching 98%. The team adopts an innovative multi-layer annotation correction system, accompanied by detailed misrecognition rate analysis reports. The application value is significant, as models trained with this dataset can increase the response speed of medical staff by 20% and greatly reduce the risk of mishearing. Compared to other datasets, this dataset supports a wider range of commands, covering common medical instructions, with high practicality and expansion potential, ensuring it can quickly adapt to various medical scenarios.

Dataset Insights

Sample Examples

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Technical Specifications

FieldTypeDescription
file_namestringFile name
durationstringDuration
audio_ratestringAudio sample rate
audio_channelstringAudio channel
speaker_idstringA unique identifier for the speaker.
speaker_ageintThe age of the speaker in the recording.
speaker_genderstringThe gender of the speaker in the recording.
audio_languagestringThe language used in the audio.
call_intentstringThe type of call intent in the audio content.
background_noise_levelstringAn indicator of the level of background noise in the audio (e.g., low, medium, high).
speech_transcriptiontextThe textual transcription of the speech command in the audio.
emotion_detectedstringThe detected emotion of the speaker in the audio (e.g., happy, angry, calm).
speech_speedfloatThe speed of the speech command in the audio (e.g., words per minute).

Compliance Statement

Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What are the suitable application scenarios for this dataset?
The Nurse Station Voice Command Recognition Dataset is particularly suitable for improving voice command recognition in medical settings, such as enhancing the command processing efficiency at hospital nurse stations.
What is the main goal of this dataset?
The main goal of the dataset is to improve the accuracy of voice command recognition within medical environments to respond more quickly and accurately to nurse call commands.
What methods can be used to conduct research with this dataset?
Researchers can use this dataset to train and evaluate speech recognition systems, especially focusing on the effects of specific terminologies and background noise in medical scenarios.
What potential impact could using this dataset have on the healthcare industry?
The use of this dataset could increase the level of automation in healthcare facilities, thereby reducing the burden on nurses, improving patient care quality, and enhancing the overall operational efficiency of hospitals.
What role will this dataset play in the future development of speech recognition technology?
As speech recognition technology advances, this dataset will serve as an important resource to drive more efficient voice command processing and the development of new technologies in complex medical environments.

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Cite this Work

@dataset{Mobiusi2026,
  title={Nurse Station Call Chinese Voice Command Recognition Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/3e0e57c9fef08548090563b523ca025f},
  urldate={2026-02-04},
  keywords={nurse station call recognition, medical voice dataset, voice command automation},
  version={1.0}
}

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