Working hour statistics method based on voice recognition and working hour statistics system

A technology of speech recognition and man-hours, applied in speech analysis, computing, instruments, etc., can solve the problems of large labor costs, large storage space of video images, and consumption

Active Publication Date: 2020-02-14
上海明胜品智人工智能科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In offline stores, some use video surveillance systems to capture on-the-job image information of employees around the clock, and replay the video images or view the monitoring images in real time by special personnel to understand the employees' on-the-job work conditions; this method requires a lot of manpower Cost, and a large number of video images require a large storage space
[0003] In addition, there is no accurate and objective statistical method for the actual working hours of employees at work (such as the length of time shopping guides receive customers and have conversations with customers), and it is impossible to determine the work intensity of employees

Method used

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  • Working hour statistics method based on voice recognition and working hour statistics system
  • Working hour statistics method based on voice recognition and working hour statistics system
  • Working hour statistics method based on voice recognition and working hour statistics system

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Embodiment Construction

[0036] The application describes a number of embodiments, but the description is illustrative rather than restrictive, and it will be obvious to those of ordinary skill in the art that within the scope of the embodiments described in the application, There are many more embodiments and implementations. Although many possible combinations of features are shown in the drawings and discussed in the detailed description, many other combinations of the disclosed features are possible. Except where expressly limited, any feature or element of any embodiment may be used in combination with, or substituted for, any other feature or element of any other embodiment.

[0037] This application includes and contemplates combinations of features and elements known to those of ordinary skill in the art. The disclosed embodiments, features and elements of this application can also be combined with any conventional features or elements to form unique inventive solutions as defined by the clai...

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Abstract

The invention provides a working hour statistics method based on voice recognition, a working hour statistics system and a computer readable storage medium, wherein the method comprises the followingsteps of collecting voice information of employees for dialogue in a working time period; performing identity confirmation by recognizing the voiceprint features of the voice information; determiningthe dialogue starting time and the dialogue ending time of the voice information confirmed through the identity; determining the dialogue voice time period according to the dialogue starting time andthe dialogue ending time; and counting the practical working hours of employees in the working time period according to the dialogue voice time period. The method provided by the embodiment of the invention has the advantages that the on-the-job condition of the employees is monitored on the basis of voice recognition; the automatic statistics on the practical working hours of the employees is realized, so that the working intensity of the employees can be quantified; and the effective data support is provided for performance indicators of each employee.

Description

technical field [0001] This article relates to the field of performance appraisal, especially a method, system and computer-readable storage medium for man-hour statistics based on speech recognition. Background technique [0002] In offline stores, some use video surveillance systems to capture on-the-job image information of employees around the clock, and replay the video images or view the monitoring images in real time by special personnel to understand the employees' on-the-job work conditions; this method requires a lot of manpower Cost, and a large number of video images require a large storage space. [0003] In addition, there is no more accurate and objective statistical method for the actual working hours of employees at work (such as the length of time that shopping guides receive customers and have conversations with customers), and it is impossible to determine the work intensity of employees. Contents of the invention [0004] The present application provi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L17/00G10L17/02G10L17/04G06Q10/10
CPCG10L17/02G10L17/04G06Q10/1091G10L17/00
Inventor 朱树荫梁志婷徐浩吴明辉
Owner 上海明胜品智人工智能科技有限公司
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