A method and an apparatus for classifying a telephone dialing test audio based on AI is provided. Data of a telephone dialing test audio is acquired first, then the data of the telephone dialing test audio is processed via a preset classifier so as to obtain similarities among the data of the telephone dialing test audio and telephone types in the preset classifier, in which the preset classifier is a deep-learning model determined by historical data of telephone dialing test audios and their corresponding telephone types; finally, the telephone type corresponding to the telephone dialing test audio is determined according to the similarities. With the method and apparatus, the telephone dialing test audio is classified via machine learning to determine whether a user is a normal user, thus human costs is saved and an efficiency of dialing test is increased.

A facsimile apparatus includes a storage unit, a first detection unit, and a second detection unit. The storage unit stores a parameter based on a connection standard of a telephone-line connected to the facsimile apparatus, and an apparatus direct-current resistance of the facsimile apparatus. The first detection unit detects a first voltage that is a voltage at a line-open time of a telephone line connected to the facsimile apparatus. The second detection unit detects a second voltage that is a voltage at a line-capture time of the telephone line. By using the first voltage, the second voltage, the parameter, and the apparatus direct-current resistance, a voltage to be a threshold for determination of line capture is determined. By using a voltage detected from the telephone line and the voltage to be the threshold determined by the first determination unit, whether the telephone line is captured is determined.

Responsive to concurrently recording on a plurality of recorders a telephonic interaction constructing a plurality of playlists, and according to faults identified while recording the plurality of playlists evaluating a quantitative quality score for each playlist in the plurality of playlists and presenting the playlists in a prioritized order according to the scores thereof.

Responsive to concurrently recording on a plurality of recorders a telephonic interaction constructing a plurality of playlists, and according to faults identified while recording the plurality of playlists evaluating a quantitative quality score for each playlist in the plurality of playlists and presenting the playlists in a prioritized order according to the scores thereof.

The invention allows utilizing Caller Line Identification (CLI) feature in receiving test emergency calls from any kind of elevator emergency telephones. A call attempt including CLI information from an elevator emergency telephone is received at an elevator emergency call receiver unit. The CLI information is detected. Then, one of the following is performed: a) disconnecting the call attempt to complete the test call processing; b) in response to detecting the call attempt being released by the elevator emergency telephone within a predetermined time period, determining that the test call processing is completed; and c) in response to detecting the call attempt not being released by the elevator emergency telephone within the predetermined time period, answering the incoming call to enable the elevator emergency telephone to continue the test call processing.

Various embodiments manage service issues within a wireless communication network. In one embodiment, a one or more call detail records associated with a set of wireless communication devices of a wireless communication network is received. A set of information within each of the one or more call detail records is compared to a baseline statistical model. The baseline statistical model identifies a normal operating state of the wireless communication network. At least one outlier call detail record in the one or more call detail records is identified based on the comparison. The at least one outlier call detail record indicates that at least one wireless communication device associated with the at least one outlier call detail record experienced one or more service issues.

An interface portal system that includes a non-transitory computer readable medium having a plurality of stored instructions adapted to generate a coaching portal based on behavioral assessment data, the plurality of instructions including instructions that, when executed, analyze one or more communications between a customer and an agent, wherein the analysis comprises instructions that, when executed, apply a linguistic-based psychological behavioral model to separated voice data for the customer, the agent, or both, from each communication by analyzing behavioral characteristics of the customer, the agent, or both, based on the one or more communications; instructions that, when executed, identify one or more customer-agent interaction events based on the analyzed behavioral characteristics; and instructions that, when executed, display a time-based graphic representation across a selected time interval based on one or more communications. Methods of providing coaching assessment based on behavioral assessment data are also included.

Reverse powering equipment includes: a power supply module, configured to supply power resources to a distribution point unit by using a line; a switch, configured to control whether the power supply module supplies power; a line test module, configured to: when the switch is opened and the power supply module does not supply power, test whether a user terminal is connected to the line; and a system control module, configured to send an alarm signal when the line test module determines that a user terminal exists on the line, and after a user disconnects the user terminal, control the switch to be closed and the power supply module to supply power. The reverse powering equipment can prevent the user terminal from being damaged.

The invention relates to a method of managing a digital subscriber line, in particular for identifying the location of weather related faults. The invention continuously measures the signal to noise (SNR) margin on the DSL line as well as measurements from weather related sensors, such as moisture and wind sensors, which each have an associated geographical location. The SNR margin measures are compared to predetermined conditions based on SNR margin characteristics associated with a population of good lines. If the SNR margin measures fail to meet the predetermined conditions, the SNR measures are also compared to the weather sensor measurements over a day or number of days. If there is a correlation between the SNR margin measures and at least one of the sensors, then location of the fault is identified as the location of the sensor having the strongest correlation with the SNR measures.

The invention relates to a method of managing a digital subscriber line, in particular for identifying the location of weather related faults. The invention continuously measures the signal to noise (SNR) margin on the DSL line as well as measurements from weather related sensors, such as moisture and wind sensors, which each have an associated geographical location. The SNR margin measures are compared to predetermined conditions based on SNR margin characteristics associated with a population of good lines. If the SNR margin measures fail to meet the predetermined conditions, the SNR measures are also compared to the weather sensor measurements over a day or number of days. If there is a correlation between the SNR margin measures and at least one of the sensors, then location of the fault is identified as the location of the sensor having the strongest correlation with the SNR measures.