JP6146163B2 - Telephone device, telephone device installation program and model characteristic adjustment system - Google Patents

Description

The present invention is a telephone apparatus, a telephone apparatus equipped with programs及 beauty model characteristic adjusting system, for example, be applied to the case of adjusting in response to the telephone characteristic in the smartphone may also act as IP (Internet Protocol) telephone apparatus to the model Is.

  Currently, IP telephone devices using VoIP (Voice over IP) are widely used. Some of these are realized by installing an application in a personal computer (hereinafter referred to as a personal computer), and an IP telephone apparatus using such an application is generally called a soft phone. In recent years, portable information processing terminals called “smartphones” have become widespread, and softphones are mainly realized on such smartphones.

  However, since a smartphone is not a device specialized for voice communication like a personal computer, the characteristics of input / output devices (microphones, earpieces, speakers, etc.) vary from model to model, and the acoustic path from the output device to the input device Characteristics (echo path characteristics) also differ from model to model. A signal (echo component) that is captured by the input device and reaches the opposite telephone device (echo component) is disturbed in a call because the sound emitted from the output device is captured by the input device. Therefore, an echo suppressor that suppresses the echo component is generally used. Many echo suppression devices learn the echo path characteristics (which also reflect the characteristics of the output device and input device) during a call, and use the learned echo path characteristics to generate a pseudo echo signal to suppress the echo component. (See Patent Document 1 and Patent Document 2).

  In addition, the smartphone has a volume adjustment operator for sound emitted from the speaker or the earpiece. Therefore, during telephone communication, the received sound volume can be adjusted by operating the volume control operator as necessary.

JP-A-7-303068 JP 2010-11265 A

  However, as described above, in the case of a softphone realized on a device that is not specialized for voice communication, there is a large difference between models of echo path characteristics. In order to cope with this, it is necessary to apply a learning configuration that can learn various echo path characteristics and generate an appropriate pseudo echo signal. Therefore, depending on the echo path characteristics, it may take a long time for the learning to converge, and the echo component may not be suppressed for a while after the start of the call.

  In addition, as described above, a smartphone generally has a volume control operator for sound emitted from a speaker or an earpiece, but does not include a volume control configuration for sound captured by a microphone. Depending on the model, the basic volume of the sound captured by the microphone differs. In such a situation, when the smartphone is applied to telephone communication, the other party (receiving side) frequently adjusts the receiving volume during a call.

In view of the above points, the telephone device to achieve a good call to absorb the difference between the model of the telephone apparatus, in which attempts to provide a telephone apparatus equipped with programs及 beauty model characteristic adjusting system.

  According to a first aspect of the present invention, in the telephone device in which the characteristic correspondence processing means executes characteristic correspondence processing corresponding to the predetermined characteristic for the transmission signal or the reception signal, (1) characteristic learning means for learning the predetermined characteristic; (2) A model characteristic value acquisition unit that sends an information request to the model characteristic management server and acquires representative value information of the predetermined characteristic from the model characteristic management server; and (3) the characteristic learning unit learns. A value of the predetermined characteristic to be applied when the characteristic correspondence processing unit executes the characteristic correspondence process is determined from the learning value of the predetermined characteristic and the representative value information of the predetermined characteristic acquired by the model characteristic value acquisition unit. And a model characteristic value setting means for setting the characteristic correspondence processing means.

  The telephone device mounting program according to the second aspect of the present invention is a program installed in the telephone device, and (1) executes a characteristic correspondence process corresponding to a predetermined characteristic for a transmission signal or a reception signal. Characteristic correspondence processing means, (2) characteristic learning means for learning the predetermined characteristic, and (3) an information request is transmitted to the model characteristic management server, and representative value information of the predetermined characteristic is transmitted from the model characteristic management server. Model characteristic value acquisition means for acquiring the characteristics, (4) the characteristic correspondence from the learning value of the predetermined characteristic learned by the characteristic learning means, and the representative value information of the predetermined characteristic acquired by the model characteristic value acquisition means The processing means determines a value of the predetermined characteristic to be applied when executing the characteristic correspondence processing, and functions as a model characteristic value setting means to be set in the characteristic correspondence processing means.

The third model characteristic adjusting system of the present invention includes a telephone device of the first present invention, for each type of telephone device, an information storage means for storing a representative value information of a given characteristic, one of the telephone device When the information request is given from the request response means for returning the stored information of the information storage means or the processed information according to the model of the requesting telephone device, the update information is given from any of the telephone devices. And a model characteristic management server having information update means for updating the storage information of the information storage means according to the model of the requesting telephone device to update information .

  ADVANTAGE OF THE INVENTION According to this invention, the favorable call can be implement | achieved by absorbing the difference between the models of a telephone apparatus.

It is a block diagram which shows the functional structure of the model characteristic adjustment system which concerns on embodiment. It is explanatory drawing which shows the memory | storage information of the model characteristic memory | storage part in the model characteristic management server of embodiment. It is a sequence diagram which shows operation | movement of the model characteristic adjustment system which concerns on embodiment.

(A) principal embodiment hereinafter, the telephone apparatus according to the present invention, an embodiment of a telephone apparatus mounting program及 beauty model characteristic adjusting system will be described with reference to the drawings.

(A-1) Configuration of Embodiment FIG. 1 is a block diagram illustrating a functional configuration of a model characteristic adjustment system according to an embodiment.

  In FIG. 1, the model characteristic adjustment system 1 according to the embodiment includes a telephone device 2 and a model characteristic management server 3.

  The telephone device 2 manages the characteristics of the model to which the telephone device 2 belongs by the model characteristic management server 3 and performs predetermined signal processing (echo suppression, transmission volume adjustment, etc.) using the managed characteristics. It is something to execute. The telephone device 2 transmits information reflecting the detected characteristic information to the model characteristic management server 3 (note that the detected characteristic information itself is transmitted to the model characteristic management server 3. May be).

  Here, the telephone device 2 is not limited, and may be, for example, a fixed IP telephone device, or may be a smartphone or a tablet terminal having a telephone function (soft phone).

  The same model of the telephone device 2 means having the same model number, for example. However, having the same product name may be handled as the same model, and having the same product number may be handled as the same model. In the case of this embodiment, based on the identification information (model number, product name, product number) that the manufacturer can guarantee that the configuration of predetermined signal processing (echo suppression, transmission volume adjustment, etc.) has the same relationship, Identifies whether they are the same.

  The telephone device 2 includes a transmission / reception signal processing unit 10, a model characteristic detection / adjustment unit 20, an output changeover switch 30 and an input changeover switch 31 that switch between the transmission / reception signal processing unit 10 and the model characteristic detection / adjustment unit 20. Have.

  The components of the telephone device 2 shown in FIG. 1 (components excluding speakers, microphones, etc.) are not only constructed in hardware, but also a CPU and a program (including data and the like) executed by the CPU. For example, it may be constructed in software.

  The transmission / reception signal processing unit 10 includes a pseudo echo generation filter unit 11, a subtraction unit 12, and a transmission sound volume gain multiplication unit 13.

  The pseudo echo generation filter unit 11 is a digital filter, and a filter coefficient F0 to be applied is given from a device characteristic storage unit 25 described later of the model characteristic detection / adjustment unit 20. A reception signal (digital signal) r (n) is input to the pseudo echo generation filter unit 11, and the pseudo echo generation filter unit 11 performs pseudo echo signal e (n) by filtering the input reception signal r (n). And is given to the subtraction unit 12 as a subtraction input.

  The subtracting unit 12 removes an echo component included in the input signal si (n) by subtracting the pseudo echo signal e (n) from the input signal si (n) given from the input changeover switch 31; The signal so (n) after removal is output to the transmission volume gain multiplication unit 13.

  The transmission volume gain multiplication unit 13 multiplies the signal so (n) after removal of the echo component by a transmission volume gain V0 given from a device characteristic storage unit 25 (to be described later) of the model characteristic detection / adjustment unit 20. , Adjust the transmission volume and output to the next stage.

  In FIG. 1, the transmission volume is adjusted after the echo component is suppressed, but conversely, the echo component may be suppressed after the transmission volume is adjusted.

  The model characteristic detection / adjustment unit 20 includes a calibration control unit 21, a guidance holding unit 22, an echo path learning unit 23, a transmission volume learning unit 24, a device characteristic storage unit 25, and a server communication unit 26.

  The calibration control unit 21 controls each unit in the model characteristic detection / adjustment unit 20 as well as the output changeover switch 30 and the input changeover switch 31.

  For example, the calibration control unit 21 performs a calibration mode (calibration mode) by the arrival of the trigger signal TRG accompanying the user's operation (or the arrival of the trigger signal TRG when the call establishment sequence reaches a predetermined stage). ) Is executed to execute the operation. In this embodiment, the calibration mode includes a first calibration mode that involves characteristic learning in the telephone device 2 and a second calibration mode that does not involve characteristic learning in the telephone device 2. The calibration control unit 21 incorporates a flag that is set when processing in the first calibration mode is performed.

  The output changeover switch 30 is configured to select a signal (received signal) from the transmission / reception signal processing unit 10 except in the first calibration mode. In the first calibration mode, the calibration control unit 21 is selected. Under the control, the signal is switched to select a signal (guidance message) from the model characteristic detection / adjustment unit 20.

  The input changeover switch 31 is configured to supply an input signal (transmission signal) to the transmission / reception signal processing unit 10 except in the first calibration mode. In the first calibration mode, the calibration control unit 21 is provided. Under this control, an input signal (echo signal of the guidance message) is supplied to the model characteristic detection / adjustment unit 20.

  The guidance holding unit 22 stores a guidance message (data thereof) to be emitted from a speaker (not shown) in the first calibration mode, and the stored guidance message g () under the control of the calibration control unit 21. n) is read out and output. Here, the guidance message stored in the guidance holding unit 22 requires that the user who has listened to the guidance message makes a pseudo call that produces some sound. For example, you can apply a guidance message that says “Please speak your name after a beeping beep.” In this case, the user will pronounce his / her name and release the answering signal. A pseudo call that simulates the sound and the capture of the transmission signal is executed.

  The echo path learning unit 23 learns an echo path characteristic (a characteristic of an acoustic path from a speaker (not shown) to a microphone) using sound emission of the guidance message in the first calibration mode under the control of the calibration control unit 21. Then, a filter coefficient that can be set in the pseudo echo generation filter unit 11 according to the echo path characteristic is obtained and given to the device characteristic storage unit 25.

  In this embodiment, the adaptive algorithm applied by the echo path learning unit 23 is not limited, but for example, a learning identification algorithm can be applied. All the telephone devices of the model to which the telephone device 2 belongs need to apply the same adaptive algorithm. For example, if the learning identification algorithm is applied, the echo path learning unit 23 captures the emitted guidance message signal g (n) by a microphone (not shown) and an analog / digital conversion unit (not shown). The input signal s (n) converted into a digital signal is input to learn the echo path characteristics. In the case of FIG. 1, the pseudo echo signal and echo residual signal necessary for learning are generated inside the echo path learning unit 23, but may be obtained using the pseudo echo generation filter unit 11 and the subtraction unit 12. Anyway.

  The transmitted sound volume learning unit 24 learns the transmitted sound volume based on the sound produced by the user in response to the guidance message being emitted in the first calibration mode under the control of the calibration control unit 21. The characteristic information of the transmission volume is given to the device characteristic storage unit 25. For example, the transmission sound volume learning unit 24 captures a voice produced by a user in response to the guidance message being emitted by a microphone (not shown) and converts the input signal s (n) converted into a digital signal by an analog / digital converter (not shown). ) To determine the sound / silence, and calculate the signal power of the sound period in the input signal s (n) (for example, the sum of squares of each sample value of a predetermined number of samples from the latest sample to the past), A ratio (or difference) with respect to a preset reference power is output to the apparatus characteristic storage unit 25 as transmission volume characteristic information V. The calculation of the signal power is started after the guidance message is finished being emitted and is finished after the pseudo call is finished, and the echo signal of the guidance message is added to the transmission volume characteristic information V. It is not reflected.

  When the ratio of the signal power to the reference power is applied as the transmission volume characteristic information V, when the transmission signal is multiplied by the inverse of the transmission volume characteristic information V, the power of the signal after multiplication is increased. Is generally the reference power, and the reciprocal of the transmission volume characteristic information V can be used as the transmission volume gain to be given to the transmission volume gain multiplication unit 13.

  The device characteristic storage unit 25 is controlled by the calibration control unit 21, and the filter coefficient F representing the echo path characteristic learned by the echo path learning unit 23 and the transmission volume characteristic information V (or the transmission volume learning unit 24 learned). And the transmission coefficient gain V0 applied to the transmission volume gain multiplication unit 13 described above and the transmission volume gain V0 applied to the transmission volume gain multiplication unit 13 described above are stored.

  In the first calibration mode, the apparatus characteristic storage unit 25, for example, an average filter coefficient F / (/ represents an average) related to the model given from the model characteristic management server 3 and an echo path learning unit 23 The filter coefficient F0 to be given to the pseudo echo generation filter unit 11 is generated and stored from the filter coefficient F output from, and the average transmission volume gain V / for the model given from the model characteristic management server 3 is stored. From the transmission volume characteristic information V learned by the transmission volume learning section 24, the transmission volume gain V0 to be given to the transmission volume gain multiplication section 13 is generated and stored. A method for generating the filter coefficient F0 and a specific method for generating the transmission volume gain V0 will be described later.

  In the second calibration mode, the apparatus characteristic storage unit 25 applies the average filter coefficient F / related to the model given from the model characteristic management server 3 as the filter coefficient F0 to be given to the pseudo echo generation filter unit 11. Then, the average transmission volume gain V / of the model given from the model characteristic management server 3 is applied as the transmission volume gain V0 applied to the transmission volume gain multiplication unit 13.

  The server communication unit 26 performs information exchange with the model characteristic management server 3 under the control of the calibration control unit 21. The server communication unit 26 takes in an average filter coefficient F / and an average transmission volume gain V / related to the model from the model characteristic management server 3. Further, the server communication unit 26 supplies the model coefficient management server 3 with the filter coefficient F0 and the transmission volume gain V0 generated by the apparatus characteristic storage unit 25. Unlike the above, the model characteristic management server 3 may execute the generation processing of the filter coefficient F0 and the transmission volume gain V0.

  As described above, the model characteristic management server 3 manages characteristics (echo path characteristics and transmission volume gain) not in units of telephone devices but in units of telephone devices. For example, the model characteristic management server 3 may be provided for each apparatus manufacturer, may be provided for each communication carrier, and is provided in common for a plurality of communication carriers. May be.

  The model characteristic management server 3 includes a device communication unit 40, a model characteristic storage unit 41, and a server control unit 42.

  The device communication unit 40 executes communication with each telephone device 2.

  The model characteristic storage unit 41 stores characteristic information for each model of the telephone device. For example, as shown in FIG. 2, the model characteristic storage unit 41 has an average filter coefficient F /, an average transmission volume gain V /, the number of devices for which the average is obtained, and an upper limit for obtaining the average. Stores the number of devices.

  The server control unit 42 reads out information from the model characteristic storage unit 41 in response to a request from a certain telephone device 2 and transmits the information to the telephone device 2, or stores information stored in the model characteristic storage unit 41 in information received from a certain telephone device 2. Information is updated. Details of the function of the server control unit 42 will be made clear in the description of the operation section described later.

(A-2) Operation | movement of embodiment Next, operation | movement of the model characteristic adjustment system 1 which concerns on embodiment is demonstrated, referring drawings.

  FIG. 3 is a sequence diagram showing the operation of the model characteristic adjustment system 1 according to the embodiment.

  For example, when a characteristic review switch (not shown) provided in the telephone device 2 (which may be a soft switch) is operated and the trigger signal TRG is given to the calibration control unit 21, the operation in the calibration mode is started. The calibration control unit 21 transmits a model characteristic request (for example, an IP packet) from the server communication unit 26 to the model characteristic management server 3 (S100). At this time, the transmitted model characteristic request includes information on the model to which the telephone device 2 belongs.

  In the model characteristic management server 3, the server control unit 42 to which the model characteristic request is given via the device communication unit 40 extracts the model information included in the model characteristic request and stores it in the model characteristic storage unit 41. The stored information relating to the extracted model is read out, a model characteristic response (for example, IP packet) is formed, and the response to the requesting telephone device 2 is returned from the device communication unit 40 (S101). Here, in the model characteristic response to be returned, the average filter coefficient F /, the average transmission volume gain V / for the request source model, and the number of devices for which the average has been obtained are inserted. When the average number of devices has reached the upper limit number of devices to be averaged, the model characteristic response to be returned is replaced with the maximum number of devices instead of the average number of devices to be returned. Is inserted.

  When the calibration control unit 21 of the telephone device 2 receives the model characteristic response via the server communication unit 26, the average filter coefficient F / and the average transmission volume gain V / inserted in the model characteristic response are the upper limit. It is determined whether or not the characteristics from the telephone devices of the number of devices are averaged (S102). In other words, this determination is a determination as to whether or not the applied calibration mode is the second calibration mode that does not require characteristic learning.

  Although the average filter coefficient F / and the average transmission volume gain V / are obtained by averaging the characteristics from the telephone devices of the upper limit number of devices, they are omitted in FIG. The average filter coefficient F / and the average transmission volume gain V / are stored in the device characteristic storage unit 25, and characteristic learning is omitted. The average filter coefficient F / and the average transmission volume gain V / stored in the device characteristic storage unit 25 are set in the pseudo echo generation filter unit 11 and the transmission volume gain multiplication unit 13 in the transmission / reception signal processing unit 10, respectively. Used.

  If the average filter coefficient F / and the average transmission volume gain V / are averages of the characteristics from the telephone devices whose number is less than the upper limit device number, the calibration control unit 21 indicates that the built-in flag indicates that the telephone device It is determined whether or not the characteristic learning in the device 2 has already been completed (flag is set to ON) (S103).

  If the characteristic learning in the telephone device 2 has already been completed, although omitted in FIG. 3, the calibration control unit 21 uses the acquired average filter coefficient F / and average transmission volume gain V / as the device characteristic storage unit. 25, and the characteristic learning is omitted.

  If the characteristic learning in the telephone device 2 is not executed, the calibration control unit 21 outputs a guidance message from the guidance holding unit 22 and emits sound from a speaker (not shown), and the echo path learning unit 23 performs echo path characteristic (N). The filter coefficient) is learned, and the transmission volume learning unit 24 is made to learn the transmission volume based on the transmission signal obtained by the user's pronunciation according to the guidance message (S104). The filter coefficient F and the transmission volume characteristic information V (or the reciprocal thereof) obtained by this learning are stored in the apparatus characteristic storage unit 25, and the average filter coefficient F /, It is used together with the average transmission volume gain V / and the number of devices for which the average is obtained, and used to calculate a new average filter coefficient F0 and average transmission volume gain V0. The newly calculated average filter coefficient F0 and average transmission volume gain V0 are set and used in the pseudo echo generation filter unit 11 and the transmission volume gain multiplication unit 13 in the transmission / reception signal processing unit 10, respectively. It is stored in the device characteristic storage unit 25.

  The calibration control unit 21 includes model characteristics including the average filter coefficient F0 and the average transmission volume gain V0 that are updated by applying the filter coefficient F and the transmission volume characteristic information V (or the inverse thereof) obtained by learning. An update request (for example, an IP packet) is transmitted to the model characteristic management server 3 via the server communication unit 26 (S105).

  In the model characteristic management server 3, the server control unit 42 to which the model characteristic update request is given via the device communication unit 40 sets the model coefficient to the filter coefficient F0 and the transmission volume gain V0 included in the model characteristic update request. The average filter coefficient F / and the average transmission volume gain V / stored in the characteristic storage unit 41 are updated, the number of devices for which the average is obtained is increased by 1, and then the model characteristic update response (for example, IP packet) To the requesting telephone device 2 from the device communication unit 40 (S106).

  Through the processing as described above, the telephone device of the model whose model characteristics are managed by the model characteristic management server 3 is controlled so that the echo suppression and the transmission volume are appropriate immediately after the start of passing during a call.

  This is because, if the model characteristics are managed by the model characteristics management server 3 for any of the telephone devices of different models, the echo suppression and the transmission volume are controlled to be appropriate immediately after the start of the call. This means that it is possible to avoid a situation in which the user can recognize the difference in characteristics between the two.

(A-3) Effects of the embodiment According to the above embodiment, any model of the telephone device that absorbs the difference between the phone device models and the model property management server manages the model properties can be used. Even a telephone device can realize a good call.

(B) Other Embodiments In the description of the above-described embodiment, various modified embodiments have been referred to. However, modified embodiments as exemplified below can be cited.

  In the above-described embodiment, the characteristic of the target for which adjustment, suppression, etc. (which is expressed as characteristic correspondence processing in the claims) to obtain an average characteristic value for telephone devices of the same model is executed, Although echo path characteristics and transmission volume characteristics are shown, the present invention is not limited to this. For example, only the echo path characteristic may be the target characteristic of the model characteristic adjustment system, and only the transmission volume characteristic may be the target characteristic of the model characteristic adjustment system. Furthermore, characteristics other than the echo path characteristics and transmission volume characteristics, such as the passband characteristics of filters that limit the input signal provided in the received signal processing system and the transmitted signal processing system to the telephone band, can be adjusted. It may be a target characteristic of the system. For example, a white noise signal is input to a filter limited to a telephone band, the filtered signal is frequency-analyzed and compared with a reference passband characteristic, and a frequency component different from the reference passband characteristic is amplified or attenuated. When the auxiliary filter is applied so that the characteristics of the filter restricted to the telephone band can be adjusted, the passband characteristic of the filter restricted to the telephone band is the target of the model characteristic adjustment system as in the above embodiment. It can be a characteristic.

  In the above embodiment, the case has been shown in which the upper limit number of devices for calculating the average is set, but it is needless to say that the upper limit of the number of devices for calculating the average may not be provided.

  Further, in the above embodiment, when the average value of the model characteristic is obtained from the learning characteristic of the upper limit number of devices, the average value of the characteristic is used as it is for processing such as adjustment and suppression for the telephone device that has not been learned. Even if the maximum number of devices has been reached, the phone device that has not been learned is subjected to characteristic learning, and the learning characteristic is reflected in the average value. You may make it utilize for the process of.

  In the above embodiment, the learning characteristic of one device is shown to be reflected only once in the average value of the model characteristic, but it is highly likely that the characteristic has changed, such as the period from the previous learning. In such a case (for example, when the characteristics change with time), the learning characteristics of the same device may be reflected a plurality of times in the average value of the model characteristics.

  In the above embodiment, each telephone device side has been described to determine whether or not its own learning characteristic is reflected in the average value by the flag. However, on the model characteristic management server side, which telephone device learning characteristic It may be determined whether or not is reflected in the average value. For example, the telephone device may be distinguished by the MAC address for each telephone device. If the model characteristic management server determines which telephone device learning characteristic is reflected in the average value, the model characteristic management server may calculate the average process.

  In the case of a system in which the model characteristic management server executes an average process of learning characteristics, it is necessary to send the learned characteristic value from the telephone device to the model characteristic management server.

  In the above embodiment, the representative value of the model characteristic obtained from a plurality of learning characteristics is an average value. However, other statistical representative values such as a median value may be applied.

  In the above embodiment, the guidance message (data) to be sounded for learning the model characteristics is stored in the telephone device. However, the model characteristics are learned from an external guidance server or the like. The guidance message may be supplied at the time of learning.

1 ... Model characteristic adjustment system,
2 ... Telephone device,
10: Transmit / receive signal processing unit,
DESCRIPTION OF SYMBOLS 11 ... Pseudo echo production | generation filter part, 12 ... Subtraction part, 13 ... Transmission volume gain multiplication part,
20: Model characteristic detection / adjustment unit,
DESCRIPTION OF SYMBOLS 21 ... Calibration control part, 22 ... Guidance holding part, 23 ... Echo path learning part, 24 ... Transmission volume learning part, 25 ... Apparatus characteristic preservation | save part, 26 ... Server communication part,
30 ... Output changeover switch, 31 ... Input changeover switch,
3 ... Model characteristic management server,
40: Device communication unit 41: Model characteristic storage unit 42: Server control unit

Claims (6)

In the telephone device in which the characteristic correspondence processing means executes the characteristic correspondence processing according to the predetermined characteristic for the transmission signal or the reception signal,
Characteristic learning means for learning the predetermined characteristic;
A model characteristic value acquisition means for sending an information request to the model characteristic management server and acquiring representative value information of the predetermined characteristic from the model characteristic management server;
Applied when the characteristic correspondence processing means executes the characteristic correspondence processing from the learning value of the predetermined characteristic learned by the characteristic learning means and the representative value information of the predetermined characteristic acquired by the model characteristic value acquisition means. A telephone device comprising: a model characteristic value setting unit that determines a value of the predetermined characteristic and sets the value in the characteristic correspondence processing unit.   The update information sending means for sending the value of the predetermined characteristic learned by the characteristic learning means or the representative value information of the predetermined characteristic reflecting the value to the model characteristic management server. The telephone device according to 1.   3. The telephone apparatus according to claim 1, wherein the predetermined characteristic is an echo path characteristic, and the characteristic correspondence process executed by the characteristic correspondence processing unit is an echo suppression process.   4. The telephone apparatus according to claim 1, wherein the predetermined characteristic is a transmission volume, and the characteristic correspondence process executed by the characteristic correspondence processing unit is a transmission volume adjustment process. A program installed in a telephone device,
Computer
A characteristic correspondence processing means for performing a characteristic correspondence process corresponding to a predetermined characteristic for a transmission signal or a reception signal;
Characteristic learning means for learning the predetermined characteristic;
A model characteristic value acquisition means for sending an information request to the model characteristic management server and acquiring representative value information of the predetermined characteristic from the model characteristic management server;
Applied when the characteristic correspondence processing means executes the characteristic correspondence processing from the learning value of the predetermined characteristic learned by the characteristic learning means and the representative value information of the predetermined characteristic acquired by the model characteristic value acquisition means. A telephone device mounting program characterized in that the predetermined characteristic value is determined and functions as a model characteristic value setting means for setting in the characteristic correspondence processing means. A telephone device according to claim 1;
Information storage means for storing representative value information of a predetermined characteristic for each model of the telephone device, and the information according to the model of the requesting telephone device when an information request is given from any telephone device The request response means for returning the storage information of the storage means or processing information thereof, and the storage of the information storage means according to the model of the requesting telephone device when update information is given from any of the telephone devices A model characteristic adjustment system comprising: a model characteristic management server having information update means for updating information to update information .

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