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Industry Solutions

Smart Devices

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Smart Devices

Optimizing AI models with Magic Data AI data total solution.

Make your state-of-the-art products more intelligent and competitive.

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Scenarios

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Household Appliance Automation

Household appliance wake-up,remote control,consumer robots,Smart household appliance

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Smart Device Control

Smart phone/tablet,wearable,remote control

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Home Security

Security monitoring of the elderly and children, maintenance of household appliance, monitoring of break-in, motion sensor

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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)
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  • Household Appliance Automation - Command generalization (NLP)
  • End-User Device Control - Command generalization (NLP)
  • Virtual Assistant - Interaction query generalization (NLP)
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  • Home Security - Interior and exterior home image annotation (CV)
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MD Dataset Portfolio

Speech Recognition
Text-to-Speech
Natural Language Understanding
OCR

Contact us for data collection and annotation service

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Related Datasets

MDT-NLP-A014 English Debt Collection Text Corpus

View : 597

MDT-ASR-E067-A9 Korean Conversational Speech Corpus — Business and Economy

View : 915

Play Audio

MDT-NLP-B002 Chinese Named Entity Extraction (NEE) Corpus

View : 844

MDT-TTS-D001 Mandarin Chinese Child Speech Corpus for TTS

View : 820

Play Audio

MDT-NLP-B007 English In-Vehicle Command and Query Text Corpus

View : 910

MDT-NLP-B006 Chinese Portuguese Parallel Corpus

View : 820

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