Industry Solutions
Smart Home
Smart Home
Optimizing AI models with Magic Data AI data total solution.
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Scenarios
Household Appliance Automation
Household appliance wake-up,remote control,consumer robots,Smart household appliance
Smart Device Control
Smart phone/tablet,wearable,remote control
Home Security
Security monitoring of the elderly and children, maintenance of household appliance, monitoring of break-in, motion sensor
Virtual Assistant
Information query, travel arrangement, phone call, entertainment
Challenge
Imprecise voice recognition in residence and usage scenario
Unable to correctly understand ambiguous and long-tail queries
Stiff and unnatural response
Limited data on safety monitoring
Annotator® AI-Assisted Annotation Platform
Audio Annotation
Text Annotation
Image Annotation
- Household Appliance Automation - Speech command and query annotation (ASR)
- End-User Device Control - Speech command and query annotation (ASR)
- Virtual Assistant - Speech command and query integration annotation (ASR)
- Virtual Assistant - Rhythm, text segmentation, part-of-speech, and phoneme annotation (TTS)
- Household Appliance Automation - Command generalization (NLP)
- End-User Device Control - Command generalization (NLP)
- Virtual Assistant - Interaction query generalization (NLP)
- Home Security - Interior and exterior home image annotation (CV)
MD Dataset Portfolio
Speech Recognition
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Text-to-Speech
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Natural Language Understanding
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OCR
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Contact us for data collection and annotation service
Related Datasets
MDT-LF005 Wuhan Dialect Lexicon
MDT-RI003 English Spoken Speech Dataset
This dataset is designed to train AI models that better understand spoken English, improving natural interaction in speech recognition. It captures features like connected speech, weak forms, and fillers from real-life conversations. With diverse speakers and high transcription accuracy, it helps models learn English prosody and rhythm for more accurate recognition.
MDT-AI101 Spanish Duplex Conversation Training Dataset
Preserving features such as tonal jumps, spontaneous interruptions, and collaborative speech in fast-paced native conversations, this dataset uses independent channel recording for precise voice separation. Combined with multi-speaker labeling and scenario classification, it provides a solid training foundation for AI models to manage diverse speech rates and regional linguistic variations in Spanish.
MDT-NF011 Chinese Multimedia Text Corpus
MDT-NF008 Japanese Smart Home C&C Text Corpus
[Open-Source]