Voice Analysis System

Realize second-level analysis, with the highest recognition rate in insurance, banking and other fields

Voice Analysis System

Realize second-level analysis, with the highest recognition rate in insurance, banking and other fields

Pachira voice analysis system supports access to voice data of conversation between call center agents and customers, and then automatically converts massive customer interaction data into structured data through big data algorithms and models, and provides keyword retrieval, data filtering, clustering analysis and other functions. Effectively help enterprises optimize service processes, improve marketing capabilities, optimize operation indicators, provide 360 degree views based on the voice of customers for managers, and provide strategic support for enterprise operations.

Introduce

Features

行业痛点

Rule modeling function
Rule modeling function

The combination of keywords and logical relational words constitutes a powerful semantic label model.

Process modeling function
Process modeling function

The nodes are composed of rule models to realize complex order, disorder and judgment logic, and to structure the SOPs in voice data

AI modeling function
AI modeling function

Model based on deep neural network, and realize model training through fast and real corpus materialization annotation

Cross analysis function
Cross analysis function

Conduct real-time statistics on model analysis results, and output business reports through visual cross analysis

Filter path function
Filter path function

Provide excellent data set filtering capability and traceable analysis logic presentation for modeling, analysis and other functions

Hot topic mining function
Hot topic mining function

Through word segmentation statistics of text data, mining high-frequency hot topics, and cooperating with modeling function to realize deep exploration of hot data

Report platform
Report platform

11 built-in reports, customizable report platform

Language model training
Language model training

    The quick annotation function realizes the rapid accumulation of corpus and the hot update of local language model

Application

行业痛点

call center
call center
In the call center, the agent conducts a large number of calls with customers every day, and also performs work order recording and other operations. However, the information recorded in the manual work order cannot fully reflect the business information in these voices.
Offline speech analysis system
Offline speech analysis system
The off-line voice analysis system of Qianxun first converts the full amount of voice data into text; Then, by establishing a variety of analysis models, each model is used to analyze each text, and the output is bound with a service tag, which can reflect the service information of voice data; Finally, based on the obtained business tags, visual cross analysis is carried out in the system and reports are output through the report platform.
Data operation analysis
Data operation analysis
Call center operators can realize more in-depth data operation analysis of the whole call center by using the offline analysis system

Highlights

行业痛点

Support second level analysis under tens of millions of voice data
Support second level analysis under tens of millions of voice data
Support mainstream recording manufacturers at home and abroad
Support mainstream recording manufacturers at home and abroad
Real time interactive, multi perspective panoramic information display
Real time interactive, multi perspective panoramic information display
Application: deep neural network, big data model, efficient concurrent recognition decoder
Application: deep neural network, big data model, efficient concurrent recognition decoder
Massive industry data accumulation and industry model
Massive industry data accumulation and industry model
Provide the overall solution of call center voice big data
Provide the overall solution of call center voice big data

Advantage

行业痛点

Many cases
Many cases

With sufficient experience in analyzing cases, the recognition rate in insurance, banking, automobile and other fields is the highest in the industry

Strong modeling ability
Strong modeling ability

Multiple modeling capabilities, providing higher accuracy analysis capabilities

Fast data processing
Fast data processing

Realize real-time analysis and calculation, zero cost of historical data backtracking

Support autonomous training
Support autonomous training

Support speech recognition adaptive training and acoustic and language model optimization

High recognition rate
High recognition rate

Semantic understanding models accumulated in more than 30 fields, the full-text recognition rate can reach more than 90%, and the keyword recognition rate can reach more than 93%

Related

Voice Analysis System
Voice Analysis System

Realize second-level analysis, with the highest recognition rate in insurance, banking and other fields

Real-time Agent Assistant
Real-time Agent Assistant

Speaking tips and warnings, restraining non-compliant behaviors of agents

Voice Quality Inspection System
Voice Quality Inspection System

Daily processing capacity 1000 hours+, 100% full quality inspection

Intelligent Voice Robot
Intelligent Voice Robot

Support two scenarios of outbound and inbound calls, human-machine collaboration

Visual Analysis System
Visual Analysis System

Visualized real-time large screen based on voice big data, real-time public opinion warning

Car Voice Assistant
Car Voice Assistant

Provide end users with an integrated “cloud + terminal + core” automotive intelligent interactive service

Smart Training
Smart Training

Support multi-channel teaching such as APP and mini programs, and teach speech in a scene interactive way

AI Capability Platform
AI Capability Platform

Deep integration of AI based on the two core capabilities of speech recognition and speech synthesis