Systems and methods for visualization of a call over network (CON) are provided. In some embodiments, the visualization of a call over network may be effectuated by three functionalities: a readiness dialog box that enables the facilitation of the call, the inclusion of visualization and participant features within the call, and a visualized summary after the call. The readiness dialog box is presented to the callers prior to the onset of the call. It presents the other participant's and their status. It also enables the caller to send messages (both preconfigured and customized) to the other participants. Once sufficient participants have joined, the call may start. Once the call starts, it may be visualized by displaying on a single or multi channels, which caller is speaking, and any additional indications they may be providing. The caller may likewise be provided a set of participant features that allow the user to interact with the call. After the call concludes, a visualized summary of the call can then be generated. The summary includes any of the recording, transcriptions, scenario information, speaker information and the duration each speaker was talking, etc.

A method, apparatus, and computer readable medium for managing a voice call in a wireless communication network. The method comprises collecting crowd-sourced data for a voice over long-term evolution (VoLTE) call quality metrics and contexts associated with a VoLTE call. The VoLTE call quality metrics and contexts comprise non-device information and device information. The method further comprises identifying accessible information based on the device information and the non-device information, predicting VoLTE call quality using the collected crowd-sourced data and the accessible information, and determining whether to place the voice call as or switch the voice call to a VoLTE call or a circuit-switched voice call based on comparison of the predicted VoLTE quality to a predetermined threshold.

A new audio quality assessment system includes an assessment system running in a receiver system of a VoIP communication system. The new audio quality assessment system determines an accurate MOS of a VoIP call within a time window. The audio quality assessment system determines an effective PLC counter, a PLC impact factor, an effective AS counter, an AS impact factor, a network impact factor, a codec type of the received voice packets, a bitrate of the received voice packets, an initial MOS from a configured codec-bitrate MOS table, and determines the accurate MOS based on these data. The determined MOS is more accurate and efficiently obtained since it is based on efficiently collected statistics of the receiver system's modules and a pre-configured codec-bitrate MOS table.

The present invention relates to systems and methods for network labeling in order to enhance real time data transfers. A network for a real time data transfer is identified and predictive models for network performance are compared against to determine if the network is suitable for the data transfer. If so, then the real time data transfer may be completed as expected. However, if the network is predicted to be unsuitable for transmission an alternate means for connection may be suggested. The alternate suggestion may include delaying the data transfer until the network is expected to be in better conditions, connecting to another access point in the network, or switching to another network entirely. During the data transfer, the quality of the network is monitored in order to update the predictive models for the network's quality. Identifiers for the network may be utilized to keep track of the networks. Network signal strength, signal pollution and time may also be tracked in order to identify patterns in the network's performance.

Techniques are provided for evaluating multiple machine learning models to identify issues with a communication. One method comprises applying an audio signal associated with a communication to at least two of: (i) a trigger word analysis module that evaluates contextual information to determine if a trigger word is detected in the audio signal; (ii) an audio activity pattern analysis module that determines if a silence pattern anomaly is detected; and (iii) a communication application analysis module that evaluates features provided by a communication application relative to applicable thresholds; and combining results of the at least two of the trigger word analysis module, the audio activity pattern analysis module and the communication application analysis module to identify a communication issue. The combining may evaluate an accuracy of the trigger word analysis module, the audio activity pattern analysis module and/or the communication application analysis module to combine the results.

The invention relates to a communication system and a method of maintaining audio communication in a congested communication channel currently bearing the transmission of speech in audio communication between a sender side and a receiver side, the communication channel having at least one signaling channel and at least one payload channel having a quality of service. During the audio communication the quality of service of the payload channel is monitored. If the quality of service of the payload channel is below a threshold the speech at the respective sender side is converted to text; and transmitted over the retained communication channel to the respective receiver side. The text may be converted back to speech at the receiver side.

There is provided a method comprising: determining, by a network element, that at least one terminal device is capable of performing a voice call quality test, sending a radio system specific control message to the at least one terminal device, wherein the control message causes the at least one terminal device to perform the voice call quality test, and obtaining the voice call quality test results.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for evaluating the quality of a communication session or of a communication path used for the communication session. One of the methods includes initiating a communication session between a first communications device and a second communications device, wherein initiating the communication session comprises routing session data for the communication session along a first communication path between the first communications device and the second communications device; generating, at the first communications device, a plurality of reference content samples; generating a recording of the communication session as received at a first destination along the first communication path; and evaluating a quality of the communication session or of the first communication path by comparing the plurality of reference content samples with the recorded communication session.

A method is provided for improving voice quality of Voice over IP networks in which a highest-quality routing protocol is interposed between a local IP PBX exchange and a cloud-based Internet service provider server to which calls are to be routed, wherein the highest-quality routing protocol detects the quality of the voice channel between the local IP PBX exchange and cloud-based Internet service provider servers and routes voice calls to that cloud-based Internet service provider server exhibiting the highest voice call quality, with the highest voice quality server connection determined by detecting lost packets and packet delay between the local IP PBX exchange and a server.

The present invention relates to systems and methods for network labeling in order to enhance real time data transfers. A network for a real time data transfer is identified and predictive models for network performance are compared against to determine if the network is suitable for the data transfer. If so, then the real time data transfer may be completed as expected. However, if the network is predicted to be unsuitable for transmission an alternate means for connection may be suggested. The alternate suggestion may include delaying the data transfer until the network is expected to be in better conditions, connecting to another access point in the network, or switching to another network entirely. During the data transfer, the quality of the network is monitored in order to update the predictive models for the network's quality. Identifiers for the network may be utilized to keep track of the networks. Network signal strength, signal pollution and time may also be tracked in order to identify patterns in the network's performance.