A computer-implemented method includes generating at least one call detail record for each call initiated on a communication network, aggregating the call detail records generated over a predetermined time period to provide an aggregated call detail record, and calculating a call set up failure rate for the calls from the aggregated call detail record, wherein the call set up failure rate is a measure of the amount of calls that failed prior to ringing at a called party's device. The computer-implemented method further includes adjusting parameters of the communication network when the call set up failure rate is above a threshold.

A method for determining the quality of a media stream transmitted via a communication network, including at least the quality of the media stream as it is transmitted via a radio access network to a receiving device, based on data which is obtained prior to that transmission via the radio access network. The method utilizes a predictive model which is developed using a machine-learning algorithm.

An example communications system includes: a source device and a destination device; a Voice over Internet Protocol (VoIP) service, the VoIP service configured to support a voice call between the source device and the destination device over at least one of a wide-area IP network and a public-switched telephone network; wherein, for at least one leg in the voice call: an encoding device is configured to encode an analog audio stream to a digital audio stream according to one or more input parameters, the input parameters including variable input parameters; a receiving device is configured to send a quality indicator to the encoding device, the quality indicator representing the quality of the digital audio stream received at the receiving device; and the encoding device is configured to, at a feedback controller, determine updated variable input parameters for encoding a subsequent analog audio stream.

A computer-implemented method includes generating at least one call detail record for each call initiated on a communication network, aggregating the call detail records generated over a predetermined time period to provide an aggregated call detail record, and calculating a call set up failure rate for the calls from the aggregated call detail record, wherein the call set up failure rate is a measure of the amount of calls that failed prior to ringing at a called party's device. The computer-implemented method further includes adjusting parameters of the communication network when the call set up failure rate is above a threshold.

The present disclosure provides methods and systems that may be used for providing quality control for audio samples. The audio samples may be speech samples of a user. The user may be participating in an audio interview.

A computer-implemented method of for optimizing cellular network performance including identifying a plurality of voice call records stored on an application server in a first type of cellular network. The method includes analyzing call data associated with the plurality of voice call records, and identifying a set of fall back voice call records. The call data for each voice call record of the set of fall back voice call records includes a fall back indicator indicating that each voice call was initiated using a second type of cellular network. The method includes analyzing cause codes in the call data associated with the set of fall back voice call records and determining, based on the cause codes, a value for at least one KPI associated with the second type of cellular network.

A device, system and method for transmitting notifications based on indications of effectiveness for previous notifications is provided. A public-safety answering point (PSAP) device transmits, to first communication devices, a first notification of a given type, associated with a first public-safety incident. The PSAP device, subsequent to transmitting the first notification, tracks indications of effectiveness of the first notification determined from one or more of: PSAP call traffic; locations and/or responses of the first communication devices and/or PSAP-related data retrieved from one or more servers external or internal to a PSAP system. The PSAP device transmits, to second communication devices, a second notification of the given type, the second notification associated with a second public-safety incident; one or more of the second notification and transmitting of the second notification being modified, relative to the first notification, based on the one or more indications of effectiveness.

Example embodiments of this disclosure provide a method, an apparatus, a server, a storage medium, and a system for call processing. The method includes: monitoring, in real time, a call processing process of an artificial intelligence AI robot, to obtain an interaction text of the call, where the interaction text includes a recognition result of a user question and a reply to the user question; obtaining a service level value of the AI robot for the call based on the obtained interaction text; and when the service level value meets a first condition, performing an intervention operation on the call by using a target agent device.

A system for quickly deploying QM systems in contact centers is provided. A user or administrator can quickly install a QM application on a deployment server. The administrator can provide the QM application access to the contact center data where the QM application can import data from the contact center routing system about one or more customers, agents, queues, teams, and any other information or items typically associated with contact center routing systems. The imported data may also include presence data about the agents, teams, and customers. Based on the imported data, the QM application may execute one or more workflows to automatically determine information such as evaluation frequency and coaching frequency about the agents and teams, or to create or select quality forms to use for the evaluation one or more agents, teams, or contacts.

Embodiments described herein provide a dynamic voice over Internet Protocol (VoIP) audio quality management mechanism in real time, e.g., when a VoIP call is ongoing. Specifically, when a VoIP call has unsatisfactory audio quality, e.g., due to packet loss, jitter, etc., the dynamic VoIP audio quality management mechanism may redirect the VoIP traffic from the previous endpoint that initiates the VoIP session to a different endpoint within the same carrier. Upon the endpoint redirection, a new call leg is established, allowing re-negotiation or re-configuration of VoIP parameters. The re-negotiated or re-configured VoIP parameters may then be used to conduct the remainder of the VoIP call to improve the audio quality.