JP7183554B2 - VOICE QUALITY DEFAULT LOCATION ESTIMATION DEVICE, METHOD AND PROGRAM - Google Patents

Description

TECHNICAL FIELD The present invention relates to a voice quality degradation point estimation device, a communication system, a voice quality degradation point estimation method, and a voice quality degradation point estimation program for estimating a voice data degradation point.

In order to maintain and improve the voice communication service, it is necessary to understand the service quality, identify the cause, and make improvements. As a method of evaluating voice quality, a method of using voice samples and a method of measuring voice quality from capture information of communication packets are generally used.

Various methods have been proposed to objectively evaluate listening quality from speech samples. However, as a prerequisite for acquiring voice samples, the voice terminal must be equipped with a recording function. Also, legal restrictions may make it difficult to use voice samples to determine the quality of voice communication services.

On the other hand, it is also possible to measure voice quality from voice communication packet information without using voice samples. Patent Literature 1 describes a speech quality estimation device that estimates speech quality in consideration of delay fluctuations. The device described in Patent Document 1 uses one point from the transmitting terminal to the receiving terminal as a packet observation point, and measures the end-to-end packet loss rate and voice packet delay based on the packet sequence number and source timestamp information. , fluctuations, etc., to measure the quality.

Further, Patent Literature 2 describes a device for estimating a quality deterioration point in a communication network. The device described in Patent Literature 2 determines whether or not the communication quality of the same flow is degraded for each divided section based on route information and flow quality information, and creates section quality information. Then, the device described in Patent Literature 2 estimates the quality deterioration point by combining the section quality information obtained for each of the plurality of flows.

Japanese Patent Application Laid-Open No. 2017-192001 WO2010/001795

However, with the device described in Patent Document 1, even if the occurrence of quality deterioration is detected between the transmitting and receiving terminals, it is not possible to specify which device between the terminals has caused the deterioration. Here, in order to specify the equipment in which the deterioration has occurred, a method of setting a plurality of observation points and comparing the voice quality at each observation point to narrow down the location of the cause is also conceivable. However, in today's large-scale and complicated network configurations, it costs a lot of money to collect all packets from many observation points and analyze and compare their quality. In addition, increasing the number of observation points requires additional observation devices and changes in network configuration, which is not desirable.

In addition, the device described in Patent Document 2 is targeted for quality information such as packet loss rate (LOSS), packet loss burstiness, reception rate, delay jitter, transmission delay time (DELAY), etc. Calculate the presence or absence of Specifically, Patent Literature 2 describes acquisition of quality information using a quality measurement method implemented in routers such as sFlow (registered trademark).

However, when using sFlow, the end-to-end delay jitter (fluctuation) can be analyzed using RTCP (Real-time Transport Control Protocol) etc., but the end-to-point delay jitter can be analyzed It is difficult to In other words, although Patent Document 2 mentions delay jitter as a type of quality information, it does not take into account the use of delay jitter to measure quality degradation intervals.

SUMMARY OF THE INVENTION Accordingly, an object of the present invention is to provide a voice quality degradation point estimation device, a communication system, a voice quality degradation point estimation method, and a voice quality degradation point estimation program capable of estimating a point where the quality of voice data is degraded on a communication path. and

A speech quality degradation point estimation device according to the present invention includes a storage unit that stores communication packets transmitted from a speech terminal and acquired by a communication device in which an observation point is set; and a delay time calculation unit that calculates the delay time up to and based on the communication packet and the delay time, the value calculated by the difference between the average delay time at each observation point and the delay time of each communication packet A fluctuation calculation unit that calculates the degree of fluctuation for each observation point, and the difference in the average delay time and the difference in the degree of fluctuation between pairs of adjacent observation points are determined as voice quality deterioration. It is characterized by comprising an audio degradation point identification unit that identifies the point.

A communication system according to the present invention includes a communication device in which an observation point is set and acquires communication packets transmitted from a voice terminal at the observation point, and a speech quality degradation location estimation device for collecting the communication packets acquired at the observation point. The voice quality degradation point estimation device comprises a storage unit for storing collected communication packets, a delay time calculation unit for calculating delay time from the voice terminal to the observation point based on the communication packets, communication packets and a fluctuation calculation unit that calculates, for each observation point, a degree of fluctuation, which is a value calculated from the difference between the average delay time at each observation point and the delay time of each communication packet, based on the delay time; and a speech deterioration point identification unit that identifies a point where the difference in average delay time between pairs of adjacent observation points and the difference in degree of fluctuation is greater than a predetermined reference as a speech quality deterioration point. .

A voice quality degradation point estimation method according to the present invention calculates a delay time from a voice terminal to an observation point based on a communication packet transmitted from a voice terminal and acquired by a communication device in which an observation point is set. Based on the packet and delay time, the degree of fluctuation, which is a value calculated from the difference between the average delay time at each observation point and the delay time of each communication packet, is calculated for each observation point, and In a set of observation points where the difference in average delay time and the difference in the degree of fluctuation are greater than a predetermined reference, the point is specified as a voice quality deterioration point.

Another voice quality degradation point estimation method according to the present invention is such that a communication device having an observation point acquires communication packets transmitted from a voice terminal at the observation point, and collects the communication packets acquired at the observation point. A voice quality degradation point estimation device stores the collected communication packets, the voice quality degradation point estimation device calculates a delay time from a voice terminal to an observation point based on the communication packets, and a voice quality degradation point estimation device However, based on the communication packet and delay time, the degree of fluctuation, which is a value calculated by the difference between the average delay time at each observation point and the delay time of each communication packet, is calculated for each observation point. and the speech quality degradation location estimation device identifies locations where the difference in average delay time and the difference in the degree of fluctuation in a pair of adjacent observation points are greater than a predetermined reference as voice quality degradation locations. and

A voice quality degradation point estimation program according to the present invention calculates a delay time from a voice terminal to an observation point based on a communication packet transmitted from the voice terminal, which is acquired by a communication device in which an observation point is set in a computer. Based on the delay time calculation process, the communication packet and the delay time, the degree of fluctuation, which is a value calculated by the difference between the average delay time at each observation point and the delay time of each communication packet, is observed. Fluctuation calculation processing for calculating for each point, and voice deterioration that identifies locations where the difference in average delay time and the difference in degree of fluctuation in a pair of adjacent observation points are larger than a predetermined standard as a voice quality deterioration location It is characterized by executing location identification processing.

According to the present invention, it is possible to estimate the location where the quality of voice data deteriorates on the communication path.

1 is a block diagram illustrating one embodiment of a communication system in accordance with the present invention; FIG. FIG. 2 is a block diagram showing a configuration example of a speech quality degradation point estimation device; FIG. 4 is an explanatory diagram showing an example of flow data; FIG. 3 is an explanatory diagram showing an example of flows stored in a flow database; FIG. 5 is an explanatory diagram showing an example of calculated delay times and fluctuation degrees; FIG. 10 is an explanatory diagram showing an example of the tendency of the degree of fluctuation; FIG. 10 is an explanatory diagram showing an example of the tendency of the degree of fluctuation; FIG. 4 is an explanatory diagram showing an example of difference in delay time and degree of fluctuation in each section; 4 is a flow chart showing an operation example of a communication system; 1 is a block diagram showing an overview of a voice quality degradation point estimation device according to the present invention; FIG. 1 is a block diagram showing an overview of a communication system according to the present invention; FIG.

BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, embodiments of the present invention will be described with reference to the drawings.

FIG. 1 is a block diagram illustrating one embodiment of a communication system according to the present invention. A communication system 1 of the present embodiment includes voice terminals 10 to 30, communication devices R1 to R4, and a voice quality degradation point estimation device 100. FIG. Although the communication system illustrated in FIG. 1 has three voice terminals, the number of voice terminals is not limited to three, and may be one, two, or four or more. good. Further, although the communication system illustrated in FIG. 1 includes four communication devices, the number of communication devices is not limited to four, and may be one to three, or five or more. good.

The communication device of this embodiment is implemented by devices capable of receiving and transmitting packets on the network, such as routers, switches, and computers. Also, the communication devices R1, R3, and R4 of this embodiment have a packet sampling function. It is assumed that observation points are set at connection points at both ends of each communication device. In the example shown in FIG. 1, observation points IF1 and IF2 are set at both ends of the communication device R1, observation points IF3 and IF4 are set at both ends of the communication device R3, and observation points IF5 and IF4 are set at both ends of the communication device R4. IF6 is set.

In addition, in the present invention, communication packets are collected on a sampling basis from a plurality of points on a network route through which voice communication flows, and the collected communication packets are managed by the voice quality degradation point estimation device 100. FIG. By collecting communication packets on a sampling basis, the amount of data can be reduced compared to voice quality measurement by packet capture, and data collection and analysis at many points can be realized. Recently, network devices equipped with sampling-based flow monitoring technology such as sFlow and NetFlow are increasing, so it is easy to secure observation points, and the communication system of the present embodiment can be implemented without changing the network configuration. can be introduced.

Speech quality degradation point estimation device 100 is connected to communication device R2 and is capable of collecting sampling information of each observation point. Also, in this embodiment, it is assumed that voice communication is being performed between the voice terminal 10 and the voice terminal 20 . 1 is connected to the communication device R2, the device to which the speech quality degradation point estimation device 100 is connected collects communication packets (flow data) described later. It is not limited to a specific communication device as long as it can be arranged.

FIG. 2 is a block diagram showing a configuration example of the speech quality degradation point estimation device of this embodiment. A voice quality degradation location estimation device 200 illustrated in FIG. 2 corresponds to the voice quality degradation location estimation device 100 illustrated in FIG. Voice quality degradation location estimation device 200 includes flow data receiving unit 201, flow collector unit 202, data storage unit 203, voice data extraction unit 204, delay/fluctuation calculation unit 205, and voice degradation location identification unit 206. including. Note that the unidirectional arrows shown in FIG. 2 simply indicate the direction of information flow and do not exclude bidirectionality.

The flow data receiving unit 201 receives flow data from each device. Specifically, the flow data receiving unit 201 receives flow data acquired at each observation point set in the communication device. Flow data includes at least source and observation time.

FIG. 3 is an explanatory diagram showing an example of flow data. In the example shown in FIG. 3, the flow data includes the time when each communication packet was transmitted (transmission time stamp) and the time when the communication packet was acquired at each observation point (acquisition time). Each flow data may be distinguished by a sequence number as illustrated in FIG.

The flow collector unit 202 causes the data storage unit 203 to store the received flow data.

The data storage unit 203 stores collected flow data. The data storage unit 203 is implemented by, for example, a magnetic disk device.

The data storage unit 203 also has a flow database and a topology database. The flow database stores information identifying each flow at an observation point. FIG. 4 is an explanatory diagram showing an example of flows stored in the flow database. The example shown in FIG. 4 shows that flows are managed by associating a source IP address, a destination IP address, and a destination port with each observation point (interface name) in each communication device. The topology database also stores network topology information. Network topology information is registered in advance by a network administrator or the like. In the example shown in FIG. 4, the flow whose destination port is 5004 represents voice communication.

The audio data extraction unit 204 identifies observation points on the route from the route information stored in the data storage unit 203, and extracts flow data indicating audio data passing through each observation point.

A delay/fluctuation calculator 205 analyzes the flow data extracted by the voice data extractor 204, and calculates the delay time from the voice terminal to the observation point and the degree of fluctuation at the observation point.

Specifically, first, the delay/fluctuation calculator 205 identifies a communication route using network topology information based on the source, destination, and time included in the flow data extracted by the voice data extractor 204. do. The delay/fluctuation calculator 205 identifies the transmission time (transmission time stamp) and the sampling time (acquisition time) from voice communication flow data collected at each observation point on the route, and calculates the average delay time. calculate. Specifically, the delay/fluctuation calculation unit 205 delays the difference between the time when the communication packet was acquired at each observation point (acquisition time) and the time when each corresponding communication packet was transmitted (transmission time stamp). Calculate as time and calculate the average.

In addition, the delay/fluctuation calculation unit 205 uses the sequence number included in the flow data as a variable, and creates an approximation formula in which the difference between the average delay time at each observation point and the delay time of each flow data is used as a value. It is the degree of fluctuation at each observation point. That is, the delay/fluctuation calculator 205 calculates the degree of fluctuation at each observation point based on the average delay time at each observation point and the delay difference of each communication packet.

FIG. 5 is an explanatory diagram showing an example of the calculated delay time and degree of fluctuation. The example shown in FIG. 5 shows that the delay time for each flow data and the difference between the average delay time and the delay time are calculated at each observation point. For example, at the observation point IF1, the delay/fluctuation calculation unit 205 calculates the delay time of the flow data identified by the sequence number 0 as 20 ms by calculating the difference between the acquisition time and the transmission time stamp. Further, when the average delay time at the observation point IF1 is calculated to be 20 ms, the delay/fluctuation calculation unit 205 subtracts the fluctuation degree of the flow data specified by the sequence number 6 from the delay time, for example. Therefore, it is calculated as 10 ms.

6 and 7 are explanatory diagrams showing examples of trends in the degree of fluctuation. In the example shown in FIG. 6, the degree of fluctuation is graphed along the sequence numbers. Also, the equation illustrated in FIG. 7 represents an equation obtained by approximating the curve illustrated in FIG. 6 with a three-dimensional polynomial. The delay/fluctuation calculation unit 205 may thus calculate an approximation formula that approximates the degree of fluctuation along the order of the flow data. Graphing such an approximation makes it easier to grasp the degree of fluctuation. For example, comparing the degree of fluctuation at IF1 and the degree of fluctuation at IF3, it can be understood at a glance that the degree of fluctuation at IF3 is greater than the degree of fluctuation at IF1.

The speech deterioration point identification unit 206 compares the delay and fluctuation degree at each observation point calculated by the delay/fluctuation calculation unit with adjacent observation points to identify the speech deterioration point. Specifically, the speech degradation point identifying section 206 identifies a point where the difference in delay time and degree of fluctuation between adjacent observation points is greater than a predetermined reference as a speech quality deterioration point.

At this time, first, the speech degradation point identification unit 206 identifies a set of adjacent observation points from the network topology information stored in the data storage unit 203 . Note that the delay/fluctuation calculation unit 205 may specify a set of adjacent observation points. Then, the speech deterioration point identifying section 206 compares the average delay time and the degree of fluctuation at adjacent observation points, and identifies a section in which the difference is greater than a predetermined reference as a speech quality deterioration point. Here, an adjacent observation point means an observation point through which a communication packet passes next to a given observation point. The voice quality degradation point specifying unit 206 may specify a section larger than a predetermined difference as a voice quality degradation point, or may specify the top N cases (N is a natural number) having a large difference as a voice quality degradation point.

FIG. 8 is an explanatory diagram showing an example of difference in delay time and degree of fluctuation in each section. In the example shown in FIG. 1, observation point F1 and observation point F2, observation point F2 and observation point F3, and observation point F3 and observation point F4 are adjacent to each other. Therefore, as illustrated in FIG. 8, the speech degradation point identification unit 206 sets the average delay time and Calculate the degree of fluctuation.

In the example shown in FIG. 8, the delay time is the longest in the section between the observation point F1 and the observation point F2. Moreover, the fluctuation degree is the largest in the section between the observation point F2 and the observation point F3. Therefore, the speech deterioration point identification unit 206 may identify these sections as speech quality deterioration points. Further, the voice quality degradation point specifying section 206 may specify a section in which both the delay time and the degree of fluctuation are large as the voice quality degradation point.

The flow data receiving unit 201, the flow collector unit 202, the audio data extracting unit 204, the delay/fluctuation calculating unit 205, and the audio deterioration point specifying unit 206 are computer programs that operate according to a program (audio quality deterioration point estimation program). is implemented by the CPU of For example, the program is stored in the data storage unit 203, the CPU reads the program, and according to the program, the flow data reception unit 201, the flow collector unit 202, the audio data extraction unit 204, the delay/fluctuation calculation unit 205, and the audio deterioration It may operate as the location identification unit 206 .

In addition, the flow data receiving unit 201, the flow collector unit 202, the audio data extracting unit 204, the delay/fluctuation calculating unit 205, and the audio degradation location identifying unit 206 may be realized by dedicated hardware. good.

Next, the operation of this embodiment will be described. FIG. 9 is a flowchart showing an operation example of the communication system 1 of this embodiment.

The flow collector unit 202 receives flow data at each observation point from the communication device. The flow collector unit 202 stores the received flow data in the data storage unit 203 (step S301). The audio data extraction unit 204 extracts flow data stored in the data storage unit 203 .

The delay/fluctuation calculator 205 identifies observation points existing on the voice communication path from the source IP address and destination IP address included in the acquired flow data and the network topology information (step S302).

The voice data extraction unit 204 extracts voice data (RTP (Real-time Transport Protocol)) based on the destination port information, and performs grouping for each observation point (step S303).

The delay/fluctuation calculation unit 205 calculates each audio data delay time from the transmission source to the observation point and the observation point based on the transmission time stamp information included in the header information of the audio data (RTP) and the sampling time of each audio data. is calculated (step S304). For example, the values illustrated in FIG. 5 are calculated by the processing in steps S303 and S304.

Further, the delay/fluctuation calculation unit 205 calculates the difference between the delay time of each audio data and the average delay time up to the observation point, and calculates the sequence number together with the sequence number included in the header information of the audio data (RTP). An approximation formula (degree of fluctuation) to be used as a variable is calculated (step S305). The approximation formula here is, for example, the approximation formula for the curve illustrated in FIG.

The speech degradation location identification unit 206 identifies a set of adjacent observation points from the network topology information stored in the data storage unit 203 (step S306). Then, the speech deterioration point identification unit 206 compares the average delay time and fluctuation degree of adjacent observation points, and identifies a section with a large difference as a speech quality deterioration point (step S307).

As described above, in this embodiment, the delay/fluctuation calculation unit 205 calculates the delay time from the voice terminal to the observation point based on the communication packet transmitted from the voice terminal, and calculates the delay time from the voice terminal to the observation point based on the communication packet and the delay time. Then, the degree of fluctuation at the observation point is calculated. Then, the speech deterioration point identification unit 206 identifies a point where the difference in delay time and degree of fluctuation between adjacent observation points is larger than a predetermined reference as a speech quality deterioration point. Therefore, it is possible to estimate the location where the quality of the voice data deteriorates on the communication path.

That is, the communication system of this embodiment can be applied to a system in which a plurality of terminals have conversations by voice communication via a network. Specifically, in the present embodiment, it is possible to estimate voice quality degradation locations in consideration of delay fluctuations using flow data held by network devices, for example, sampling information such as sFlow and NetFlow suitable for high-speed networks. be.

For example, when sFlow, NetFlow, or the like is used as the communication device of the present embodiment, it can be handled by device settings without changing the physical configuration. In addition to sFlow and NetFlow, the number of devices that have the function of acquiring such flow data is increasing.
A large number of observation points can be easily secured. Also, by acquiring flow data on a sampling basis, it is possible to reduce the analysis cost compared to the method of capturing all packets.

Next, an outline of the present invention will be described. FIG. 10 is a block diagram showing an outline of a speech quality degradation point estimation device according to the present invention. A voice quality degradation location estimation device 80 (eg, voice quality degradation location estimation device 200) according to the present invention is a communication device (eg, communication devices R1 to R4) in which observation points (eg, observation points IF1 to IF6) are set. A storage unit 81 (e.g., data storage unit 203) that stores acquired communication packets transmitted from a voice terminal (e.g., voice terminal 10), and a delay time from a voice terminal to an observation point based on the communication packets. and a fluctuation calculation unit 83 (for example, delay/fluctuation calculation unit 205) that calculates the degree of fluctuation at the observation point based on the communication packet and the delay time. ), and a voice deterioration point identification unit 84 (for example, a voice deterioration point identification unit 206) that identifies, as a voice quality deterioration point, a point where the difference in delay time and fluctuation degree between adjacent observation points is greater than a predetermined reference. I have.

With such a configuration, it is possible to estimate the location where the quality of voice data deteriorates on the communication path.

Further, the fluctuation calculator 83 may calculate the degree of fluctuation at each observation point based on the average delay time at each observation point and the delay difference of each communication packet.

In addition, the speech degradation location identification unit 84 identifies a pair of adjacent observation points based on the network topology information, and compares the average delay time and the difference in the degree of fluctuation for each pair of adjacent observation points with a predetermined reference. A section larger than 1 may be specified as a voice quality deterioration point.

The fluctuation calculator 83 may also calculate an approximation formula that approximates the degree of fluctuation along the order of the flow data.

In addition, the voice quality degradation point specifying unit 84 may specify a section in which the difference between the delay time and the degree of fluctuation is larger than a predetermined difference, or a section of a predetermined high order, as a voice quality degradation point.

FIG. 11 is a block diagram showing an overview of a communication system according to the invention. A communication system 90 (for example, communication system 1) according to the present invention is configured with observation points (for example, observation points IF1 to IF6), and a communication packet transmitted from a voice terminal (for example, voice terminal 10) is It comprises a communication device 91 (for example, communication devices R1 to R4) that acquires, and a voice quality degradation point estimation device 70 (eg, voice quality degradation point estimation device 200) that collects communication packets acquired at an observation point. .

The speech quality degradation point estimation device 70 includes a storage unit 71 (for example, the data storage unit 203) that stores collected communication packets, and a delay time that calculates the delay time from the voice terminal to the observation point based on the communication packets. A calculation unit 72 (for example, delay/fluctuation calculation unit 205) and a fluctuation calculation unit 73 (for example, delay/fluctuation calculation unit 205) that calculates the degree of fluctuation at an observation point based on communication packets and delay times are adjacent to each other. It also includes a voice deterioration point identification unit 74 (for example, the voice deterioration point identification unit 206) that identifies a point where the difference between the delay time and the degree of fluctuation at the observation point is larger than a predetermined reference as a voice quality deterioration point.

With such a configuration as well, it is possible to estimate the location where the quality of the voice data is degraded on the communication path.

Further, the fluctuation calculator 73 may calculate the degree of fluctuation at each observation point based on the average delay time at each observation point and the delay difference of each communication packet.

Some or all of the above-described embodiments can also be described in the following supplementary remarks, but are not limited to the following.

(Appendix 1) A storage unit that stores a communication packet transmitted from a voice terminal acquired by a communication device in which an observation point is set, and a delay time from the voice terminal to the observation point based on the communication packet a delay time calculation unit that calculates a delay time calculation unit that calculates the degree of fluctuation at the observation point based on the communication packet and the delay time; and a difference between the delay time and the degree of fluctuation at adjacent observation points. 1. A voice quality degradation location estimation device, comprising: a voice quality degradation location identification unit that identifies a location having a larger value than a predetermined standard as a voice quality deterioration location.

(Supplementary note 2) The voice quality degradation point estimation device according to Supplementary note 1, wherein the fluctuation calculation unit calculates the degree of fluctuation at each observation point based on the average delay time at each observation point and the delay difference of each communication packet.

(Additional remark 3) The speech degradation point identification unit identifies a pair of adjacent observation points based on the network topology information, and the difference in the average delay time and the degree of fluctuation compared for each pair of adjacent observation points is predetermined. 3. The speech quality degradation point estimation device according to supplementary note 1 or supplementary note 2, wherein a section larger than a reference is specified as a voice quality degradation point.

(Supplementary Note 4) The speech quality degradation point estimation device according to any one of Supplementary Notes 1 to 3, wherein the fluctuation calculating section calculates an approximation formula approximating the degree of fluctuation along the order of the flow data.

(Supplementary note 5) The speech deterioration point identifying unit identifies sections where the difference between the delay time and the degree of fluctuation is greater than a predetermined difference, or a section of a predetermined higher order, as voice quality deterioration points. The voice quality degradation point estimation device according to any one of the above.

(Appendix 6) An observation point is set, and a communication device that acquires communication packets transmitted from a voice terminal at the observation point, and a voice quality degradation point estimation device that collects the communication packets acquired at the observation point. , the voice quality degradation point estimation device includes a storage unit for storing collected communication packets, a delay time calculation unit for calculating a delay time from the voice terminal to the observation point based on the communication packets, and the a fluctuation calculator for calculating the degree of fluctuation at the observation point based on the communication packet and the delay time; A communication system, comprising: a speech degradation point identification unit that identifies a deterioration point.

(Appendix 7) The communication system according to appendix 6, wherein the fluctuation calculator calculates the degree of fluctuation at each observation point based on the average delay time at each observation point and the delay difference of each communication packet.

(Appendix 8) Based on a communication packet transmitted from a voice terminal acquired by a communication device in which an observation point is set, a delay time from the voice terminal to the observation point is calculated, and the communication packet and the delay are calculated. The degree of fluctuation at the observation point is calculated based on time, and a point where the difference between the delay time and the degree of fluctuation at adjacent observation points is greater than a predetermined reference is specified as a voice quality deterioration point. speech quality degradation estimation method.

(Appendix 9) The speech quality deterioration estimation method according to appendix 8, wherein the degree of fluctuation at each observation point is calculated based on the average delay time at each observation point and the delay difference of each communication packet.

(Supplementary Note 10) A voice quality degradation point estimation device for a communication device having an observation point set to acquire communication packets transmitted from a voice terminal at the observation point, and collect the communication packets acquired at the observation point, Collected communication packets are stored, and the voice quality degradation location estimation device calculates the delay time from the voice terminal to the observation point based on the communication packets, and the voice quality degradation location estimation device calculates the delay time from the voice terminal to the observation point. Based on the communication packet and the delay time, the degree of fluctuation at the observation point is calculated, and the speech quality degradation point estimation device determines that the difference between the delay time and the degree of fluctuation at adjacent observation points is greater than a predetermined standard. A method for estimating voice quality degradation, characterized by identifying a large portion as a voice quality degradation portion.

(Appendix 11) The voice quality deterioration estimation method according to appendix 10, wherein the degree of fluctuation at each observation point is calculated based on the average delay time at each observation point and the delay difference of each communication packet.

(Appendix 12) Delay time calculation processing for calculating the delay time from the voice terminal to the observation point based on the communication packet transmitted from the voice terminal acquired by the communication device in which the observation point is set in the computer , a fluctuation calculation process for calculating the degree of fluctuation at the observation point based on the communication packet and the delay time, and a point where the difference between the delay time and the degree of fluctuation at adjacent observation points is greater than a predetermined reference. as a voice quality degradation point.

(Appendix 13) The voice quality deterioration estimation program according to appendix 12, which causes the computer to calculate the degree of fluctuation at each observation point based on the average delay time at each observation point and the delay difference of each communication packet in the fluctuation calculation process.

1 communication system 10, 20, 30 voice terminal 100, 200 voice quality degradation location estimation device 201 flow data reception unit 202 flow collector unit 203 data storage unit 204 voice data extraction unit 205 delay/fluctuation calculation unit 206 voice degradation location identification unit IF1 ～IF6 Observation point R1～R4 Communication terminal

Claims (10)

a storage unit for storing communication packets transmitted from a voice terminal and acquired by a communication device in which an observation point is set;
a delay time calculation unit that calculates a delay time from the voice terminal to the observation point based on the communication packet;
Based on the communication packet and the delay time, the degree of fluctuation, which is a value calculated by the difference between the average delay time that is the average of the delay times at each observation point and the delay time of each communication packet, is calculated for each observation point. a fluctuation calculation unit that calculates to
a speech deterioration point identification unit that identifies , as a speech quality deterioration point , a point where the difference in the average delay time and the difference in the degree of fluctuation in a pair of adjacent observation points are greater than a predetermined reference. A speech quality degradation point estimation device characterized by: 2. The voice quality degradation point estimation device according to claim 1, wherein the fluctuation calculator calculates the degree of fluctuation at each observation point based on the difference between the average delay time at each observation point and the delay time of each communication packet. The speech degradation location identification unit identifies a set of adjacent observation points based on the network topology information, and determines the adjacent observation points in the section determined by using the observation points included in the set of adjacent observation points as end points. 3. The voice quality degradation point estimation device according to claim 1, wherein a segment in which the difference in average delay time and the difference in degree of fluctuation compared for each set of are larger than a predetermined reference is specified as a voice quality degradation point. 4. The speech quality degradation point estimation device according to any one of claims 1 to 3, wherein the fluctuation calculator calculates an approximation formula that approximates the degree of fluctuation with the sequence number of the communication packet as a variable. The speech degradation point identifying unit is a section in which the difference in the average delay time and the difference in the degree of fluctuation are larger than a predetermined reference, among the sections determined by using the observation points included in the set of adjacent observation points as endpoints, or 5. The voice quality degradation point estimation device according to any one of claims 1 to 4, wherein a predetermined high ranking section is identified as a voice quality degradation point. a communication device configured with an observation point and acquiring communication packets transmitted from a voice terminal at the observation point;
A voice quality degradation point estimation device that collects communication packets acquired at the observation point,
The speech quality degradation point estimation device is
a storage unit that stores collected communication packets;
a delay time calculation unit that calculates a delay time from the voice terminal to the observation point based on the communication packet;
Based on the communication packet and the delay time, the degree of fluctuation, which is a value calculated by the difference between the average delay time that is the average of the delay times at each observation point and the delay time of each communication packet, is calculated for each observation point. a fluctuation calculation unit that calculates to
and a speech deterioration point identification unit that identifies , as a speech quality deterioration point , a point where the difference in the average delay time and the difference in the degree of fluctuation in a pair of adjacent observation points is greater than a predetermined reference. communication system. The communication system according to claim 6, wherein the fluctuation calculator calculates the degree of fluctuation at each observation point based on the difference between the average delay time at each observation point and the delay time of each communication packet. calculating a delay time from the voice terminal to the observation point based on a communication packet transmitted from the voice terminal acquired by a communication device in which the observation point is set;
Based on the communication packet and the delay time, the degree of fluctuation, which is a value calculated by the difference between the average delay time that is the average of the delay times at each observation point and the delay time of each communication packet, is calculated for each observation point. calculated to
A voice quality degradation estimation method , wherein a voice quality degradation location is identified as a location where the difference in the average delay time and the difference in the degree of fluctuation in a pair of adjacent observation points are greater than a predetermined reference. A communication device to which an observation point is set acquires a communication packet transmitted from a voice terminal at the observation point,
A voice quality degradation point estimation device that collects communication packets acquired at the observation point stores the collected communication packets,
the voice quality degradation point estimation device, based on the communication packet, calculates a delay time from the voice terminal to the observation point;
A value calculated by the voice quality deterioration point estimation device as a difference between an average delay time, which is the average of the delay times at each observation point, and the delay time of each communication packet, based on the communication packet and the delay time A certain degree of fluctuation is calculated for each observation point,
wherein the speech quality degradation point estimation device identifies a point where the difference in the average delay time and the difference in the degree of fluctuation in a pair of adjacent observation points is greater than a predetermined reference, as a point of voice quality degradation. A speech quality degradation estimation method characterized by: to the computer,
delay time calculation processing for calculating the delay time from the voice terminal to the observation point based on the communication packet transmitted from the voice terminal acquired by the communication device in which the observation point is set;
Based on the communication packet and the delay time, the degree of fluctuation, which is a value calculated by the difference between the average delay time that is the average of the delay times at each observation point and the delay time of each communication packet, is calculated for each observation point. Fluctuation calculation processing to calculate to, and
voice for executing a voice deterioration point identification process for identifying a point where the difference in the average delay time and the difference in the degree of fluctuation in a pair of adjacent observation points is larger than a predetermined reference as a voice quality deterioration point Quality deterioration estimation program.

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