CN101662550A - Method and system for service quality detection for call center - Google Patents

Method and system for service quality detection for call center Download PDF

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CN101662550A
CN101662550A CN200910170363A CN200910170363A CN101662550A CN 101662550 A CN101662550 A CN 101662550A CN 200910170363 A CN200910170363 A CN 200910170363A CN 200910170363 A CN200910170363 A CN 200910170363A CN 101662550 A CN101662550 A CN 101662550A
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user
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CN101662550B (en
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郭潺
赖永森
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ZTE Corp
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Abstract

The invention discloses a method and a system for service quality detection for a call center. The method comprises the following steps of: obtaining service sound recording of the call center; extracting the attribute information in the service sound recording; determining a parameter value used for quality detection according to the attribute information and the corresponding relationship between the attribute information and a parameter for quality detection; and determining the service quality assessment value of the telephone traffic service according to the parameter value. The method can objectively detect the service quality of the telephone traffic service each time and has high realizing efficiency and high universality.

Description

Call center services quality determining method and system
Technical field
The present invention relates to communication technical field, refer to a kind of operator's service quality automatic testing method and system that is used for call center system especially.
Background technology
The call center is by the customer service of high-end industries such as large-scale telecom operators and bank, large-scale outsourcing Calling Center Development as the basic means that promotes level of customer service and communication efficient at first.Along with the continuous transformation of modern commerce operation mode, the call center has begun from original incoming call (Inbound) call center just to make also that to (Outbound) Calling Center Development of breathing out the call center changes to the profit center from original cost centre.But because the particularity of " product " (being generally operator's service voice) that the call center produces also just allows the call center be faced with higher difficulty on product quality detection problem.
Existing call center quality inspection system generally is to adopt manually-operated mode to finish, and the service of extracting the operator by quality inspection personnel is recorded and analyzed, evaluates, for example: for operator's service marking etc.The mode that this artificial extraction detects needs input great amount of manpower and material resources, financial resources to realize the detection to operator's Service Phone.In fact, quality inspection personnel can not be monitored analysis to each Service Phone, also just can not there be time enough to go to finish understanding to the whole service scenario of operator, the one-sidedness and the imperfection that cause the quality inspection result, add factors such as the subjective judge of quality inspection personnel, thereby it is inaccurate, injustice to make that the quality testing result understands.
Summary of the invention
The embodiment of the invention provides a kind of call center services quality determining method and system, realizes the automatic detection to the call center services quality, and testing result is objective.
A kind of call center services quality determining method comprises:
Obtain the service recording of call center;
Extract the attribute information in the described service recording;
According to described attribute information, reach the corresponding relation of the parameter of described attribute information and quality testing, be identified for the parameter value of quality testing;
According to described parameter value, determine the service quality test and appraisal value of this traffic service.
A kind of call center services quality detecting system comprises:
The recording acquisition module, the service recording that is used to obtain the call center;
Extraction module is used for extracting the attribute information of described service recording;
The parameter determination module is used for according to described attribute information, and the corresponding relation of the parameter of described attribute information and quality testing, is identified for the parameter value of quality testing;
The quality determination module is used for according to described parameter value, determines the service quality of this traffic service.
Call center services quality determining method and system that the embodiment of the invention provides, by at least two kinds of attribute information that the service of obtaining the call center is recorded, for example: the traffic content of the sex of service duration, user recording and emotion and operator's recording etc. is carried out Comprehensive Assessment, according to predefined test and appraisal rule, determine the test and appraisal value of Comprehensive Assessment, because can adopt identical standard rating to all service recording, its evaluating result is objective; And can realize its implementation efficiency height automatically; Can be at different traffic set different test and appraisal rules, its flexibility height and highly versatile.
Said method has taken into full account service duration, user's emotion and operator's service content quality; By from operator and user both sides' dialogue, the voice data of automatic mining unstructured, obtain expression content and express mode (being user feeling), content quality to the operator is carried out requirement, simultaneously user's feeling in service analyzed, on the basis of understanding user's impression, deepen understanding, to improve service level in service to the user; That is to say that this evaluating result is to have taken all factors into consideration operator's service and serviced user's impression, can realize thoroughly evaluating the traffic service.
Unit or system that the realization of said method can be fully has a processing capacity by computer etc. finish automatically, do not need artificial participation, have accelerated the execution speed of call center's quality testing, reduced the cost input, have improved monitoring efficiency.
Description of drawings
Fig. 1 is the flow chart of call center services quality determining method in the embodiment of the invention;
Fig. 2 is the specific implementation flow chart of call center services quality determining method in the embodiment of the invention one;
Fig. 3 is for carrying out the flow chart that content quality is analyzed to operator's recording in the embodiment of the invention one;
Fig. 4 is for carrying out the flow chart that emotion is analyzed to user recording in the embodiment of the invention one;
Fig. 5 is the structural representation of call center services quality detecting system in the embodiment of the invention.
Embodiment
The call center services quality determining method that the embodiment of the invention provides, extract the recording of service each time of call center, according to service duration parameter, user feeling parameter and the content quality parameter of service recording each time, the service quality of Comprehensive Assessment service recording.Its flow process promptly in the actual detected process, is recorded at service each time as shown in Figure 1, and execution in step is as follows:
Step S1: the service recording of obtaining the call center.
The call center generally can be provided with the recording module of attending a banquet, and is used for operator's service is recorded.So the service that can get access to traffic service each time from the recording database is recorded.
Step S2: extract the attribute information in the service recording of obtaining.
Attribute information comprises at least two kinds in the following message: the traffic content of the sex of service duration, user recording and emotion and operator's recording.
Step S3: according to the attribute information that extracts, reach the corresponding relation of the parameter of attribute information and quality testing, be identified for the parameter value of quality testing.
According to the kind of attribute information, corresponding, can determine at least two kinds of parameter values that are used for quality testing.
Then be identified for the process of the parameter value of quality testing, comprise at least two kinds in the following deterministic process accordingly according to the attribute information that extracts:
(i) determine the service duration that service is recorded,, search the threshold interval at the service duration place of the service recording that gets access to, the service duration parameter value of definite service recording according to the corresponding relation of service duration threshold interval that is provided with and service duration parameters.
(ii) determine the operator's recording that comprises in the service recording, according to the traffic content of operator's recording and preestablish the traffic content and the corresponding relation of content quality parameter, determine the content quality parameter value of correspondence;
(iii) determine the user recording that comprises in the service recording, sex and emotion according to the pairing recording of user recording user, and the corresponding relation of the various emotions of the different sexes that sets in advance and user feeling parameter, determine corresponding user feeling parameter value.
Step S4:, determine the service quality test and appraisal value of this traffic service according to the parameter value of determining that is used for quality testing.Specifically comprise:
According to the parameter value of the determining shared separately weight proportion in service quality test and appraisal value that is provided with, calculate the service quality test and appraisal value of this traffic service.
Embodiment one
Carrying out the traffic quality testing with three kinds of attribute information of traffic content of the sex that adopts service duration, user recording and emotion and operator's recording below is that example is elaborated.Its flow process comprises the following steps: as shown in Figure 2
Step S10: the service recording of obtaining the call center.
From getting access to the service recording of traffic service each time the database, recording comprises that the operator records and user recording.
When adopting single-threaded the recording, operator's recording and user recording are together; When adopting the two-wire journey to record, operator and user are recorded respectively, then operator's recording and user recording are two independent parts.
Preferable, after getting access to the service recording, denoising is carried out in the service recording.For example: can be by (Matrix Laboratory, wavelet transformation noise-eliminating method Matlab) carry out denoising Processing to the service recording that gets access to based on the matrix experiment chamber.
Carry out Daubechies (dbN based on Matlab, N represents the exponent number of small echo) wavelet de-noising, by the threshold value in this pressure noise-eliminating method is set, high frequency coefficient in the wavelet decomposition structure all is set to 0, promptly filter all HFSs, then signal is carried out wavelet reconstruction, eliminate voice high frequency noise in addition, obtain the effect of comparatively level and smooth service recording to reach.
Step S11:, determine corresponding service duration parameter value according to the service duration of the service recording that gets access to.
According to the corresponding relation of service duration threshold interval that is provided with and service duration parameters, search the threshold interval at the service duration place of the service recording that gets access to, determine the service duration parameter value of service recording.
For example, can preestablish the pairing service duration of each service duration threshold interval and get score value,, search the threshold interval at its place according to the service duration of the service that gets access to recording, thus determine its correspondence score value, i.e. service duration parameter.As: service duration threshold interval 60~120 seconds, corresponding must be divided into 90 fens; 120~150 seconds corresponding must be divided into 95 fens; Or the like.
Step S12: determine the operator's recording and the user recording that comprise in the service recording of obtaining respectively.
When above-mentioned service recording of obtaining is when adopting single-threaded the recording, from the service recording, extract operator's recording and user recording.Above-mentioned service recording of obtaining is when adopting the two-wire journey to record, and then only need determine two parts recording that wherein comprises, and which part is that the operator records, and that part of is user recording, and need not to extract again.
Step S13: the service quality analysis is carried out in operator's recording, determined corresponding content quality parameter value.
Operator's recording is converted into the recording text, the keyword of specified services in advance that comprises in the text according to recording accounts between the proportional band of the ratio of the total vocabulary in the recording text and setting the corresponding relation with the content quality parameter, determines corresponding content quality parameter value.As shown in Figure 3, specifically comprise the following steps:
Step S131: operator's recording is converted into recording text (being the text of TXT form) by the speech text switching software.
Step S132: the quantity of the preassigned service keyword that comprises in the recording text that statistics is changed out.
Wherein, preassigned service keyword can comprise: product professional knowledge vocabulary, service expression, communication skill vocabulary or the like.For example: the product professional knowledge vocabulary such as key sentence of name of product and product information; Service expressions such as term of courtesy, the language of thanking you, the language of apologizing, Opening Sentences, conclusion; Language is prohibited in service, communication skill vocabulary such as the guiding term of communication skill aspect, communication term.
Preferable, can specify different service keywords at different business, this service specified keyword can be stored in the knowledge base, uses during in order to statistics.
Step S133: the vocabulary total amount that comprises in the recording text that statistics is changed out.
Step S134: the quantity of the service keyword that counting statistics goes out accounts for the ratio of the vocabulary total amount in the recording text.Promptly calculate the probability that the service keyword occurs, so that determine content quality according to this probability of occurrence.
Step S135: according between the proportional band that is provided with the corresponding relation of content quality parameter, determine the content quality parameter value of this service recording.
For example, can set in advance between some proportional bands and corresponding content quality gets score value, account for according to the quantity of the service keyword that calculates between the proportional band at ratio value place of the vocabulary total amount in the recording text, search corresponding content quality and get score value.As: 50-60% between the proportional band, corresponding must be divided into 90 fens; The 60-70% correspondence must be divided into 95 fens between the proportional band; Or the like.
Step S14: user recording is carried out the emotion analysis, determine corresponding user feeling parameter value.
According to predetermined sex probability threshold value and the user recording pitch signal cumulative density function value that calculates, determine the pairing recording of user recording user's sex; Then, according to the affective characteristics parameter of recording user's the user recording that calculates of sex and the pairing affective characteristics parameter distribution of the various emotions of the different sexes interval that counts, determine this recording user's emotion, for example: emotion such as angry, frightened, glad, tranquil, sad, surprised; According to the sex and the emotion of the user recording of determining, search the corresponding relation of the various emotions and the user feeling parameter of predefined different sexes again, determine the user feeling parameter value of this user recording.
Wherein, the user feeling parameter also can get score value by emotion and embody, and for example: preestablishing tranquil corresponding emotion, to get score value be 80, and glad corresponding score value is 90 etc.
Step S15:, determine the service quality test and appraisal value of this traffic service according to the service duration parameter value of determining, content quality parameter value and user feeling parameter value.Specifically can adopt the test and appraisal rule of setting, determine the service quality of this traffic service.
According to above-mentioned service duration parameter value, content quality parameter value and the user feeling parameter value of obtaining, and the weight proportion separately set in the rule of test and appraisal, calculate the test and appraisal value of the final service quality of this traffic service.Be the product of calculation services duration parameters value, content quality parameter value and user feeling parameter value and each self-corresponding weight proportion, and each sum of products that calculates, obtain the test and appraisal value of the service quality of this traffic service.
For example: service duration parameter value, content quality parameter value and the shared weight proportion of user feeling parameter value are 1: 2: 2, then can be as follows according to the test and appraisal value of weight proportion calculation services quality:
Figure A20091017036300121
Above-mentioned call center services quality determining method of the present invention also comprises:
Step S16: obtain the operation information that the operator carries out the traffic service.
The operator who obtains storage from the operation system of call center carries out the operation information of traffic service, includes each operator's on attending a banquet operation note in the operation information, can determine the corresponding operator of each service recording according to operation note.
Step S17:, determine the operator of execution this traffic service corresponding with the service recording of obtaining according to the operation information of the traffic service that gets access to.
Promptly the service of at every turn obtaining recording and the operator who operates can be carried out relatedly, set up incidence relation.
Step S18: after determining the service quality of each traffic service, the service quality evaluating result of determining is stored.So that call during follow-up the needs.
This step can be carried out after step S15, promptly obtains the service quality of each traffic service among the storing step S15, and the service quality of recording can be inquired about, extracts, be served at every turn to realization.
Also can after step S17, carry out, promptly obtain the operator that corresponding this traffic of execution of service recording that determine and that obtain is served among the service quality test and appraisal value of each traffic service and the step S17 among the storing step S15.Thereby can realize inquiring about, extract, add up certain operator's of storage the service quality of all service recording, so that each operator's service quality is carried out comprehensively, objectively evaluated.
Above-mentioned steps S14 carries out the emotion analysis to determine corresponding user feeling parameter to user recording, and its specific implementation flow process such as Fig. 4 show, comprise the following steps:
Step S141: according to predetermined sex probability threshold value and the described user recording pitch signal cumulative density function value that calculates, the user recording user's sex of recording is judged, determined the pairing recording of user recording user's sex.
Can utilize the difference of the pitch signal frequency statistics model of different sexes that sex is separated.
At first, the cumulative density function value P (f of the Frequency point of pitch signal probability difference maximum of sex on the cumulative function curve of needs calculating user recording T).
Then, judge according to the pitch signal cumulative density function value of the user recording user's sex of recording, be specially: with the cumulative density function value that calculates, compare, determine the pairing recording of user recording user's sex with the cumulative distribution threshold value that pre-determines out.That is: if the cumulative density function value that obtains, determines then that the pairing recording of user recording user's sex is the male sex greater than the cumulative distribution threshold value; Otherwise, determine that the pairing recording of user recording user's sex is the women.
Wherein, cumulative distribution threshold value basis is determined the statistics of pitch signal cumulative density function value of the Frequency point of the probability difference maximum of sex on the cumulative distribution function curve of the user of different sexes.For example: can determine that the cumulative distribution threshold value is: Promptly choose the Frequency point f of the probability difference maximum of sex on the cumulative distribution function curve TAs threshold frequency, the average of the gender's of selected threshold frequency correspondence cumulative density function value is as the cumulative distribution threshold value.
Wherein, f TFrequency point for the probability difference maximum of sex on the cumulative function curve;
P m(f T) be the male sex's pitch signal cumulative distribution function;
P f(f T) be women's pitch signal cumulative distribution function.
For example: above-mentioned cumulative distribution function specifically can calculate by following column count Parzen window method, and its process is as follows:
At setting regions
Figure A20091017036300132
, the pitch signal probability density function can calculate by following formula (1):
Figure A20091017036300141
Wherein,
Figure A20091017036300142
The probability density of expression pitch signal;
V NBe setting regions
Figure A20091017036300143
Coverage; Wherein,
Figure A20091017036300144
Be one and comprise f in an interior setting regions;
N is all number of samples;
K NFor falling into setting regions
Figure A20091017036300145
In number of samples.
Fall into the zone
Figure A20091017036300146
Number of samples K NCan be by a window function of definition Represent, then according to the Parzen window estimation technique, even f=is (f 1, f 2, Λ, f n) t, define a window function
Figure A20091017036300148
Figure A20091017036300149
Wherein, i=1,2, Λ, n.
In fact
Figure A200910170363001410
Be that to have defined one with functional value 1 be the center with the initial point, rib length is 1 n dimension hypercube.The translation by coordinate and the convergent-divergent of yardstick can change the position and the size of hypercube.If sample f iFall into f is that the center is with h NBe the long zone of rib
Figure A200910170363001411
Then counting when interior is 1, otherwise counting is 0.Can utilize window function
Figure A200910170363001412
Realize above-mentioned agreement, that is:
Figure A200910170363001413
Then fall into the zone
Figure A200910170363001414
Number of samples K NComputing formula (2) be:
Figure A200910170363001415
Wherein, i is a positive integer;
f iValue for certain sample point in the window function of definition;
h NThe rib of expression normal state window function forms is long.
Probability of use density function normal state window function
Figure A200910170363001416
Its computing formula (3) is as follows:
Figure A200910170363001417
With formula (3) substitution formula (2), obtain falling into the zone
Figure A20091017036300151
Number of samples K NComputing formula (4) as follows:
k N = Σ i = 1 N ( 1 2 π e - ( f - f i ) 2 2 h N 2 )
With formula (4) substitution formula (1), the concrete computing formula (5) of probability density function that can obtain pitch signal is as follows:
Figure A20091017036300153
Formula (5) is and utilizes the normal state window that the probability density function of fundamental frequency is carried out the computing formula that Parzen window method is estimated, utilizes formula (5) both can estimate the probability density of voice signal fundamental frequency; This probability density function is carried out integral operation, can obtain the fundamental frequency cumulative distribution function.
According to the gene frequency cumulative distribution function that obtains, both can calculated rate point f TThe corresponding male sex's pitch signal cumulative density function value P m(f T) and Frequency point f TCorresponding women's pitch signal cumulative density function value P f(f T); Also can calculate the cumulative density function value P (f of the pitch signal of user recording T).
Wherein, the male sex's pitch signal cumulative density function value P m(f T) and Frequency point f TCorresponding women's pitch signal cumulative density function value P f(f T), can determine by the cumulative density function value of the known voice sample data of sex being carried out statistical analysis.
Step S142:, determine this recording user's emotion according to the affective characteristics parameter of the user recording that calculates, the recording user's that determines sex and the pairing affective characteristics parameter distribution of the various emotions of the different sexes interval that counts.Specifically comprise:
Wherein, the pairing affective characteristics parameter distribution of the various emotions interval of different sexes carries out determining behind the classification analysis according to the voice sample of the different emotions of each sex of statistic of classification in advance.
Specifically can adopt three dimensions theory based on emotion, sex and the known voice sample of emotion are carried out statistic of classification and storage, voice sample at the various emotions of different sexes, for example: angry, frightened, glad, tranquil, sad, surprised etc., add up the distributed area at the affective characteristics parameter place of every kind of emotion, thereby determine the affective characteristics parameter distributions interval of the various emotions of different sexes, for example: the average of fundamental tone and formant and variance distributed area.
When need determining the pairing recording of user recording user's emotion, calculate the affective characteristics parameter of user recording, and determine the distributed area at the affective characteristics parameter place that calculates, determine that according to distributed area corresponding emotion is this recording user's emotion.For example: calculate the fundamental tone of user recording and the average and the variance of formant, generally can select to calculate the average and the variance on first three rank of formant; And search fundamental tone and the average of formant and the distributed area at variance place of the user recording that calculates, determine that according to distributed area corresponding emotion is this recording user's emotion.
Step S143: according to the sex and the emotion of the user recording of determining, search the corresponding relation of the every kind of emotion and the user feeling parameter of predefined different sexes, determine the user feeling parameter value of this user recording.
For example: the user feeling parameter value specifically can get score value by user feeling and characterize.Promptly can preestablish every kind of pairing user feeling of emotion and get score value,, search corresponding user feeling and get score value according to the user feeling of determining, for example: user feeling difference correspondence such as angry, frightened, glad, tranquil, sad, surprised must score value.
According to above-mentioned call center services quality determining method of the present invention, can make up a kind of call center services quality detecting system, as shown in Figure 5, comprising: recording acquisition module 10, extraction module 20, parameter determination module 30 and quality determination module 40.
Recording acquisition module 10, the service recording that is used to obtain the call center.
Extraction module 20 is used for extracting the attribute information of service recording.
Extraction module 20 specifically is used for extracting at least two kinds of following attribute information of service recording: the traffic content of the sex of service duration, user recording and emotion and operator's recording.
Parameter determination module 30 is used for the attribute information determined according to extraction module 20, and the corresponding relation of the parameter of attribute information and quality testing, is identified for the parameter value of quality testing.
Accordingly, parameter determination module 30 specifically comprises: duration is analyzed submodule 301, is determined submodule 302, quality analysis submodule 303 and emotion are analyzed submodule 304.
Duration is analyzed submodule 301, be used for determining the service duration of service recording, according to the corresponding relation of service duration threshold interval that is provided with and service duration parameters, search the threshold interval at the service duration place of the service recording that gets access to, determine the service duration parameter value of service recording.
Determine submodule 302, be used for determining respectively operator's recording and user recording that service recording that the recording acquisition module gets access to comprises.
Quality analysis submodule 303 is used for the traffic content of recording according to the operator and preestablishes the traffic content and the corresponding relation of content quality parameter, determines corresponding content quality parameter value.
Preferable, quality analysis submodule 303 further can comprise: conversion unit 3031, computing unit 3032 and quality determining unit 3033.
Conversion unit 3031 is used for operator's recording is converted into the recording text.
Computing unit 3032, the quantity that is used for the preassigned service keyword that described recording text that counting statistics goes out comprises accounts for the ratio value of the vocabulary total amount in the described recording text that counts.
Quality determining unit 3033, be used for according between predefined proportional band with the corresponding relation of content quality parameter, search between the proportional band at the ratio value place that computing unit 3032 calculates, determine the corresponding content quality parameter value of this service recording.
Emotion is analyzed submodule 304, is used for sex and emotion according to the pairing recording of user recording user, and the corresponding relation of the various emotions of the different sexes that sets in advance and user feeling parameter, determines corresponding user feeling parameter value.
Preferable, emotion is analyzed submodule 304, further can comprise: sex determining unit 3041, emotion determining unit 3042 and parameter determining unit 3043.
Sex determining unit 3041 is used for according to predetermined sex probability threshold value and the user recording pitch signal cumulative density function value that calculates, determines the pairing recording of user recording user's sex.
Emotion determining unit 3042 is used for determining this recording user's emotion according to the affective characteristics parameter of recording user's sex, the user recording that calculates and the pairing affective characteristics parameter distribution of the various emotions of the different sexes interval that counts in advance.
Parameter determining unit 3043 is used for sex and emotion according to the user recording of determining, searches the corresponding relation of the various emotions and the user feeling parameter of predefined different sexes, determines the user feeling parameter value of this user recording.
Quality determination module 40 is used for the parameter value determined according to parameter determination module 30, determines the service quality of this traffic service.
Quality determination module 40 specifically is used for: at the shared separately weight proportion of service quality test and appraisal value, calculate the service quality test and appraisal value of this traffic service according to the parameter value that is provided with.
Said system also comprises: noise elimination module 50 is used for by the wavelet transformation de-noising denoising being carried out in the service recording that recording acquisition module 10 obtains.
Said system also comprises: message processing module 60 and memory module 70.
Message processing module 60 is used to obtain the operation information that carries out the traffic service according to the operator of storage, the operator that corresponding this traffic of execution of service recording of determining to obtain with recording acquisition module 10 according to the operation information that obtains is served.
Memory module 70, the operator who is used for this traffic service of execution that service quality test and appraisal value that the quality determination module of determining 40 is determined and message processing module 60 determine stores.
Preferable, a voice sample collection module can also be set, for emotion is analyzed the voice sample of various emotions that submodule 304 provides the recording different sexes of collection in the said system.
Above-mentioned call center services quality detecting system of the present invention can be realized by software, also can realize by hardware, and for example, can be a kind of information processing chip.
Be a concrete calculating case explanation below.
Make a telephone call to the call center when inquiring about the service of certain business information when a male user, and the recording module of attending a banquet can be recorded to the service of this time traffic.The recording acquisition module can get access to the service recording of this time from the recording module of attending a banquet; Preferable, can carry out denoising Processing by noise elimination module.
Analyze the service duration parameter value that submodule is determined this time service recording by duration then.For example: the service duration of this traffic service is 70 seconds, and in the service duration parameter of setting, 60~120 seconds corresponding that score value be 90 minutes, and then the score of this service duration was 90 fens.
Determine operator's recording and the user recording that wherein comprises respectively by determining submodule.Then, the quality analysis submodule carries out the service quality analysis to operator's recording, determines corresponding content quality parameter value; For example: user's emotion is tranquil, and in the pairing affective characteristics parameter distribution of the various emotions of the different sexes interval that is provided with, sex be the male sex, and corresponding to get score value be 80 minutes to emotion for tranquil, and then the user feeling of this traffic service must be divided into 80 fens.
Emotion is analyzed submodule user recording is carried out the emotion analysis, determines corresponding user feeling parameter value; For example: the ratio that the service keyword that comprises in the operator recording accounts for its vocabulary total amount is 18%, between the service keyword proportional band of setting in, 15%~20% is 80 minutes, then to get score value be 80 minutes to the content quality of this traffic service.
The quality determination module is used for according to the above-mentioned service duration parameter value that obtains, content quality parameter value and user feeling parameter value, determines the service quality test and appraisal value of this traffic service.For example the weight proportion of service duration parameter, content quality parameter and user feeling parameter is 1: 2: 2 in the test and appraisal rule of She Dinging, and then the service quality test and appraisal value of this traffic service is
Figure A20091017036300191
Promptly 82 minutes.
The above; only be the preferable embodiment of the present invention; but protection scope of the present invention is not limited thereto; anyly be familiar with those skilled in the art in the technical scope that the present invention discloses; the variation that can expect easily, replace or be applied to other similar devices, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection range of claims.

Claims (14)

1, a kind of call center services quality determining method is characterized in that, comprising:
Obtain the service recording of call center;
Extract the attribute information in the described service recording;
According to described attribute information, reach the corresponding relation of the parameter of described attribute information and quality testing, be identified for the parameter value of quality testing;
According to described parameter value, determine the service quality test and appraisal value of this traffic service.
2, the method for claim 1 is characterized in that, described attribute information is at least two kinds, and correspondingly, the parameter that is used for quality testing is at least two kinds;
Described according to described parameter value, determine that the service quality test and appraisal value of this traffic service specifically comprises:
According to the described parameter value shared separately weight proportion in service quality test and appraisal value that is provided with, calculate the service quality test and appraisal value of this traffic service.
3, method as claimed in claim 2 is characterized in that, described attribute information comprises at least two kinds in the following message: the traffic content of the sex of service duration, user recording and emotion and operator's recording;
The described parameter value that is identified for quality testing comprises at least two kinds in the following deterministic process accordingly:
Determine the service duration of described service recording,, search the threshold interval at the service duration place of the service recording that gets access to, determine the service duration parameter value of service recording according to the corresponding relation of service duration threshold interval that is provided with and service duration parameters;
Determine the operator's recording that comprises in the described service recording, according to the traffic content of described operator's recording and preestablish the traffic content and the corresponding relation of content quality parameter, determine the content quality parameter value of correspondence;
Determine the user recording that comprises in the described service recording, sex and emotion according to the pairing recording of described user recording user, and the corresponding relation of the various emotions of the different sexes that sets in advance and user feeling parameter, determine corresponding user feeling parameter value.
4, method as claimed in claim 3 is characterized in that, determines the record process of pairing content quality parameter value of described operator, specifically comprises:
Described operator recording is converted into the recording text, and the quantity of the preassigned service keyword that comprises in the described recording text that goes out of counting statistics accounts for the ratio value of the vocabulary total amount in the described recording text that counts;
According between predefined proportional band with the corresponding relation of content quality parameter, search between the proportional band at described ratio value place, determine the corresponding content quality parameter value of this service recording.
5, method as claimed in claim 3 is characterized in that, determines the process of the pairing user feeling parameter value of described user recording, specifically comprises:
According to predetermined sex probability threshold value and the described user recording pitch signal cumulative density function value that calculates, determine the pairing recording of described user recording user's sex;
According to the affective characteristics parameter of recording user's sex, the user recording that calculates and the pairing affective characteristics parameter distribution of the various emotions of the different sexes interval that counts in advance, determine this recording user's emotion;
According to the sex and the emotion of the user recording of determining, search the corresponding relation of the various emotions and the user feeling parameter of predefined different sexes, determine the user feeling parameter value of this user recording.
6, as the described method of claim 2-5, it is characterized in that, also comprise: obtain the operation information that carries out the traffic service according to the operator of storage, determine the operator of execution this traffic service corresponding according to described operation information with described service recording;
After the service quality of then described definite this traffic service, also comprise: the described service quality test and appraisal value that will determine and the operator who carries out this traffic service store.
7, method as claimed in claim 6 is characterized in that, before the attribute information in the described service recording of described extraction, also comprises: by the wavelet transformation de-noising denoising is carried out in the described service recording of obtaining.
8, a kind of call center services quality detecting system is characterized in that, comprising:
The recording acquisition module, the service recording that is used to obtain the call center;
Extraction module is used for extracting the attribute information of described service recording;
The parameter determination module is used for according to described attribute information, and the corresponding relation of the parameter of described attribute information and quality testing, is identified for the parameter value of quality testing;
The quality determination module is used for according to described parameter value, determines the service quality of this traffic service.
9, system as claimed in claim 8 is characterized in that, described extraction module specifically is used for extracting at least two kinds of following attribute information of described service recording: the traffic content of the sex of service duration, user recording and emotion and operator's recording;
Accordingly, described parameter determination module specifically comprises:
Duration is analyzed submodule, be used for determining the service duration of described service recording, according to the corresponding relation of service duration threshold interval that is provided with and service duration parameters, search the threshold interval at the service duration place of the service recording that gets access to, determine the service duration parameter value of service recording;
Determine submodule, be used for determining respectively operator's recording and user recording that service recording that described recording acquisition module gets access to comprises;
The quality analysis submodule is used for the traffic content of recording according to described operator and preestablishes the traffic content and the corresponding relation of content quality parameter, determines corresponding content quality parameter value;
Emotion is analyzed submodule, is used for sex and emotion according to the pairing recording of described user recording user, and the corresponding relation of the various emotions of the different sexes that sets in advance and user feeling parameter, determines corresponding user feeling parameter value.
10, system as claimed in claim 9 is characterized in that, described quality analysis submodule specifically comprises:
Conversion unit is used for described operator's recording is converted into the recording text;
Computing unit, the quantity that is used for the preassigned service keyword that described recording text that counting statistics goes out comprises accounts for the ratio value of the vocabulary total amount in the described recording text that counts;
The quality determining unit, be used for according between predefined proportional band with the corresponding relation of content quality parameter, search between the proportional band at described ratio value place, determine the corresponding content quality parameter value of this service recording.
11, system as claimed in claim 9 is characterized in that, described emotion is analyzed submodule, specifically comprises:
The sex determining unit is used for according to predetermined sex probability threshold value and the described user recording pitch signal cumulative density function value that calculates, determines the pairing recording of described user recording user's sex;
The emotion determining unit is used for determining this recording user's emotion according to the affective characteristics parameter of recording user's sex, the user recording that calculates and the pairing affective characteristics parameter distribution of the various emotions of the different sexes interval that counts in advance;
The parameter determining unit is used for sex and emotion according to the user recording of determining, searches the corresponding relation of the various emotions and the user feeling parameter of predefined different sexes, determines the user feeling parameter value of this user recording.
12, system as claimed in claim 9 is characterized in that, described quality determination module specifically is used for: at the shared separately weight proportion of service quality test and appraisal value, calculate the service quality test and appraisal value of this traffic service according to the described parameter that is provided with.
13, system as claimed in claim 8 is characterized in that, also comprises:
Noise elimination module is used for by the wavelet transformation de-noising denoising being carried out in the described service recording of obtaining.
14, as the arbitrary described system of claim 8-13, it is characterized in that, also comprise:
Message processing module is used to obtain the operation information that carries out the traffic service according to the operator of storage, determines the operator of execution this traffic service corresponding with described service recording according to described operation information;
Memory module is used for the described service quality test and appraisal value that will determine and the operator who carries out this traffic service stored.
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