Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

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.

Active Publication Date: 2020-07-10
AISPEECH CO LTD
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] 1. One-way output: It can only provide speech synthesis and broadcasting capabilities when offline, and it is a one-way voice information output from the device to the person, and the person cannot input the voice information to the device
When people need to change functions during offline navigation, they still need to input information by hand, which is extremely unsafe during driving
[0005] 2. Poor integration ability: the offline delivery and integration method is used, and the integration and debugging costs are very high
Only suitable for large enterprises, not suitable for small and medium enterprises and individual developers
[0006] 3. The accuracy and customization of recognition semantics are not compatible: since the POI (Point of interest) involved in offline navigation is on the order of tens of millions, offline recognition requires a large amount of corpus training to produce, so offline recognition The update cost and cycle are particularly long, and customization is generally not accepted
[0007] 4. Poor customization of dialogue: Since it is integrated and delivered offline, the function of the entire offline navigation dialogue is realized by the developer's coding. It takes a lot of energy and time to open up, maintain and update this complete closed loop

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Offline navigation customization and implementation method and device
  • Offline navigation customization and implementation method and device
  • Offline navigation customization and implementation method and device

Examples

Experimental program
Comparison scheme
Effect test

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an off-line navigation customization and implementation method and device. The off-line navigation customization method comprises the steps that in response to offline navigation skills developed by a developer, built-in first speech recognition model and first semantic comprehension model are loaded; new functions added by the developer and dialogue logics customized by the developer are obtained; in response to the offline navigation skills issued by the developer, a second speech recognition model and a second semantic comprehension model which are associated with the new functions are trained, a dialogue model associated with the dialogue logics is trained, and the first speech recognition model, the first semantic comprehension model, the second speech recognition model, the second semantic comprehension model and the dialogue model are jointly generated into an off-line navigation package. The off-line navigation customization and implementation method anddevice can achieve a whole set of off-line navigation speech dialogue functions and support the personalized customization of the developer.

Description

technical field [0001] The invention belongs to the technical field of offline navigation, and in particular relates to a method and device for customization and realization of offline navigation. Background technique [0002] Among the related technologies, only a few companies have the basic voice technology required to provide offline navigation to the outside world. Some companies only provide one basic technology of offline speech synthesis, and then the navigation company integrates these two basic technologies into their own APP to realize the function of offline navigation voice broadcast navigation itinerary. Other companies provide a conversational artificial intelligence system with offline navigation dialogue, and then car manufacturers integrate the conversational artificial intelligence system into their own car machines to realize the function of offline navigation voice dialogue. [0003] In the process of realizing the present application, the inventor foun...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G10L13/02G10L15/06G10L15/18G10L15/22G10L15/26
CPCG10L13/02G10L15/063G10L15/1822G10L15/22G10L15/26G10L2015/223
Inventor 甘津瑞邓建凯张顺
Owner AISPEECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products