Offline navigation customization and implementation method and device
An offline navigation and semantic understanding technology, applied in speech analysis, speech synthesis, speech recognition and other directions, can solve the problems of unacceptable customization, long offline recognition update cost and cycle, poor integration ability, etc., and achieve good user experience.
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example 1
[0096] Example 1: Conventional language and POI, offline ASR / NLU modules will be accurately recognized and understood based on the model trained by corpus statistics
[0097] User: Navigate to Soochow University
[0098] DUI: 10 addresses have been found for you, please select the first one
[0099] User: first
[0100] DUI: OK, that's navigating for you. The whole journey is XX kilometers, XX meters ahead, turn right
example 2
[0101] Example 2: By adding new terms for offline navigation skills on the DUI platform, the offline ASR / NLU module can recognize and understand new terms
[0102] User: Where are Douyin's hottest places recently?
[0103] DUI: Help you find a Douyin Internet celebrity site closest to you, may I ask if you want to navigate there
[0104] User: go
[0105] DUI: Okay, let's go. The whole journey is XX kilometers, XX meters ahead, turn right
example 3
[0106] Example 3: By adding Beijing: Imperial City to the vocabulary of offline navigation skills on the DUI platform, the offline ASR / NLU module can recognize and understand Imperial City.
[0107] User: How far is the imperial capital from here
[0108] DUI: Master, Beijing is 1000 kilometers away from here
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