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Industry Solutions

Smart Home

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Smart Home

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-AG031 Mandarin Heavy Accent (Jiangsu) Conversational Speech Corpus

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MDT-AF078 Spanish Conversational Speech Corpus

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MDT-AE056 Mandarin Chinese Conversational Speech Corpus

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150 Multi-Style Music Stem Datasets

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MDT-NF020 Wuhan Text Corpus

Multi-Emotional Natural Speech Dataset

Magic Data has newly introduced the "Multi-Emotional Natural Speech Dataset", comprising various datasets designed to enhance expressiveness and naturalness in speech technology, enabling intelligent devices to exhibit a wide range of emotional expressions. This dataset significantly enhances the emotional expressiveness of large speech models. By leveraging our dataset, the expressiveness and emotional authenticity of large speech models can be greatly improved.
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