Smart phone customer service system based on speech analysis

A voice analysis and smart phone technology, applied in the field of pre-sales and after-sales customer service, can solve problems such as the inability to objectively evaluate the quality of customer service, and achieve the effect of objective management and incentive customer service

Inactive Publication Date: 2014-05-21
EAST CHINA UNIV OF SCI & TECH
View PDF5 Cites 124 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] Aiming at the inability of the prior art to objectively evaluate the customer service quality and achieve a high standard of customer satisfaction, the technical problem to be solved by the present invention is to provide a voice-based smart phone customer service system, through the existing voice analysis technology, including voiceprint recognition , voice recognition and voice-based emotion recognition, effectively analyze call service quality, improve customer service quality, improve customer satisfaction, and improve customer service efficiency

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
  • Smart phone customer service system based on speech analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0013] The present invention will be further introduced below in conjunction with accompanying drawing and embodiment: the method of the present invention is divided into seven modules altogether.

[0014] Part 1: Voice Endpoint Detection

[0015] The dual-channel voice based on the customer and customer service can easily distinguish the customer voice from the customer service voice, but it is also necessary to obtain the start and end time of each voice for subsequent voice analysis. Voice endpoint detection technology can be used to distinguish voice signals and non-voice signals, remove invalid voice segments and noise, and determine the beginning and end of each voice segment. For subsequent speech analysis, endpoint detection helps to improve the accuracy of speech analysis and reduce computational complexity. Endpoint detection consists of the following steps:

[0016] A) Audio preprocessing: divided into four steps: sample quantization, zero drift removal, pre-...

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 provides a smart phone customer service system based on speech analysis. Firstly, real-time recording and effectiveness detection are performed on conversation speech caused when a client calls human customer service; then related individual information of the client is extracted, voiceprint recognition is performed on client speech in the conversation speech, and the verification is performed and the conversation speech is used as client identity at the time of consulting complaints to be recorded; meanwhile, speech content recognition is performed on the conversation speech to save as written record, and text public opinion analysis is performed on the written record; speech emotion analysis is performed on the conversation speech to record speech emotion data; the effect of the consulting complaints this time is analyzed by combination of the result of the text public opinion analysis and the emotion data; final grade of the customer service is obtained by combination of the analysis results and traditional grading evaluation to perform feed-back assessment. Compared with traditional customer service systems, the smart customer service system is capable of effectively increasing service qualities of the client and achieving objectified management of customer service evaluation.

Description

technical field [0001] The invention relates to the field of pre-sale and after-sale customer service, in particular to a smart phone customer service system based on speech analysis. Background technique [0002] With the development of network, communication, and computer technology, enterprises present the characteristics of electronization, remoteness, virtualization, and networking, and more online enterprises emerge in large numbers. The communication and dialogue between customers and enterprises has also developed from face-to-face consultation and negotiation to communication and communication based on remote means such as the Internet and telephone. In this context, the telephone-based customer service center (call center) has become an important way for enterprises to interact with users. The customer service center is faced with a large number of telephone voice services every day, and handles the diverse service needs of customers, including pre-sales consultat...

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 Applications(China)
IPC IPC(8): G10L17/04G10L25/15G10L25/24H04M3/42
Inventor 李冬冬王喆潘秀清过弋
Owner EAST CHINA UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products