Abstract: A method for calculating a mean opinion score (MOS) during an ongoing Voice over Internet Protocol (VoIP) call is provided. The method may include determining a time delay between a VoIP source and a VoIP destination connected by a communications network. A start recording message is sent from the VoIP source to the VoIP destination. A first recorded call sample from the VoIP source and a second recorded call sample from the VoIP destination are generated, whereby the first and the second recorded call sample are generated with a recording delay value corresponding the determined time delay for synchronizing the first and the second recorded call sample. Using an intrusive call quality measurement, a first MOS value is calculated based on the first and the second recorded call sample. Using a non-intrusive call quality measurement, a second MOS value is calculated based on the first MOS value.

Abstract: A method for calculating a mean opinion score (MOS) during an ongoing Voice over Internet Protocol (VoIP) call is provided. The method may include determining a time delay between a VoIP source and a VoIP destination connected by a communications network. A start recording message is sent from the VoIP source to the VoIP destination. A first recorded call sample from the VoIP source and a second recorded call sample from the VoIP destination are generated, whereby the first and the second recorded call sample are generated with a recording delay value corresponding the determined time delay for synchronizing the first and the second recorded call sample. Using an intrusive call quality measurement, a first MOS value is calculated based on the first and the second recorded call sample. Using a non-intrusive call quality measurement, a second MOS value is calculated based on the first MOS value.

Abstract: A method for calculating a mean opinion score (MOS) during an ongoing Voice over Internet Protocol (VoIP) call is provided. The method may include determining a time delay between a VoIP source and a VoIP destination connected by a communications network. A start recording message is sent from the VoIP source to the VoIP destination. A first recorded call sample from the VoIP source and a second recorded call sample from the VoIP destination are generated, whereby the first and the second recorded call sample are generated with a recording delay value corresponding the determined time delay for synchronizing the first and the second recorded call sample. Using an intrusive call quality measurement, a first MOS value is calculated based on the first and the second recorded call sample. Using a non-intrusive call quality measurement, a second MOS value is calculated based on the first MOS value.

Abstract: A method for calculating a mean opinion score (MOS) during an ongoing Voice over Internet Protocol (VoIP) call is provided. The method may include determining a time delay between a VoIP source and a VoIP destination connected by a communications network. A start recording message is sent from the VoIP source to the VoIP destination. A first recorded call sample from the VoIP source and a second recorded call sample from the VoIP destination are generated, whereby the first and the second recorded call sample are generated with a recording delay value corresponding the determined time delay for synchronizing the first and the second recorded call sample. Using an intrusive call quality measurement, a first MOS value is calculated based on the first and the second recorded call sample. Using a non-intrusive call quality measurement, a second MOS value is calculated based on the first MOS value.

Abstract: A method for calculating a mean opinion score (MOS) during an ongoing Voice over Internet Protocol (VoIP) call is provided. The method may include determining a time delay between a VoIP source and a VoIP destination connected by a communications network. A start recording message is sent from the VoIP source to the VoIP destination. A first recorded call sample from the VoIP source and a second recorded call sample from the VoIP destination are generated, whereby the first and the second recorded call sample are generated with a recording delay value corresponding the determined time delay for synchronizing the first and the second recorded call sample. Using an intrusive call quality measurement, a first MOS value is calculated based on the first and the second recorded call sample. Using a non-intrusive call quality measurement, a second MOS value is calculated based on the first MOS value.

Abstract: A Voice over Internet Protocol (VoIP) session between computing devices can be identified. Each computing device can be associated with a communication link. Each of the computing devices can execute a VoIP application. Each application can include selectable codecs. The codecs can be an audio codec and a video codec. A unique list of the selectable codecs can be generated. The list can include sublists which can identify the codecs. A loss threshold with each sublist based on previously determined performance characteristics of the codecs can be associated. The threshold can be a packet loss threshold value of the link associated with the devices. A packet loss metric of the link can be evaluated. The link can be associated with a codec of the sublists. A programmatic action can be performed to select a different codec from the sublists responsive to the evaluating.

Abstract: A method for calculating a mean opinion score (MOS) during an ongoing Voice over Internet Protocol (VoIP) call is provided. The method may include determining a time delay between a VoIP source and a VoIP destination connected by a communications network. A start recording message is sent from the VoIP source to the VoIP destination. A first recorded call sample from the VoIP source and a second recorded call sample from the VoIP destination are generated, whereby the first and the second recorded call sample are generated with a recording delay value corresponding the determined time delay for synchronizing the first and the second recorded call sample. Using an intrusive call quality measurement, a first MOS value is calculated based on the first and the second recorded call sample. Using a non-intrusive call quality measurement, a second MOS value is calculated based on the first MOS value.

Abstract: A method for calculating a mean opinion score (MOS) during an ongoing Voice over Internet Protocol (VoIP) call is provided. The method may include determining a time delay between a VoIP source and a VoIP destination connected by a communications network. A start recording message is sent from the VoIP source to the VoIP destination. A first recorded call sample from the VoIP source and a second recorded call sample from the VoIP destination are generated, whereby the first and the second recorded call sample are generated with a recording delay value corresponding the determined time delay for synchronizing the first and the second recorded call sample. Using an intrusive call quality measurement, a first MOS value is calculated based on the first and the second recorded call sample. Using a non-intrusive call quality measurement, a second MOS value is calculated based on the first MOS value.

Abstract: A method for calculating a mean opinion score (MOS) during an ongoing Voice over Internet Protocol (VoIP) call is provided. The method may include determining a time delay between a VoIP source and a VoIP destination connected by a communications network. A start recording message is sent from the VoIP source to the VoIP destination. A first recorded call sample from the VoIP source and a second recorded call sample from the VoIP destination are generated, whereby the first and the second recorded call sample are generated with a recording delay value corresponding the determined time delay for synchronizing the first and the second recorded call sample. Using an intrusive call quality measurement, a first MOS value is calculated based on the first and the second recorded call sample. Using a non-intrusive call quality measurement, a second MOS value is calculated based on the first MOS value.

Abstract: In one embodiment, the quality of experience for a multi-part conference call is determined. Values for network characteristics for a conference call between at least three parties is captured using a multi-party conference call system. The network characteristics encompasses at least parameters expressed in an E-Model R-Factor equation. A quality of experience (QoE) is determined that accounts for degradation effects. The determined QoE is represented as a corrected mean opinion score (MOS) perceived by the receiving party. A controllable parameter of the conference call is dynamically and automatically modified to positively affect the determined QoE of the receiving party when the QoS is below a designated minimal QoE threshold.

Abstract: In one embodiment, the quality of experience for a multi-part conference call is determined. Values for network characteristics for a conference call between at least three parties is captured using a multi-party conference call system. The network characteristics encompasses at least parameters expressed in an E-Model R-Factor equation. A quality of experience (QoE) is determined that accounts for degradation effects. The determined QoE is represented as a corrected mean opinion score (MOS) perceived by the receiving party. A controllable parameter of the conference call is dynamically and automatically modified to positively affect the determined QoE of the receiving party when the QoS is below a designated minimal QoE threshold.

Abstract: A Voice over Internet Protocol (VoIP) session between computing devices can be identified. Each computing device can be associated with a communication link. Each of the computing devices can execute a VoIP application. Each application can include selectable codecs. The codecs can be an audio codec and a video codec. A unique list of the selectable codecs can be generated. The list can include sublists which can identify the codecs. A loss threshold with each sublist based on previously determined performance characteristics of the codecs can be associated. The threshold can be a packet loss threshold value of the link associated with the devices. A packet loss metric of the link can be evaluated. The link can be associated with a codec of the sublists. A programmatic action can be performed to select a different codec from the sublists responsive to the evaluating.

Abstract: A Voice over Internet Protocol (VoIP) session between computing devices can be identified. Each computing device can be associated with a communication link. Each of the computing devices can execute a VoIP application. Each application can include selectable codecs. The codecs can be an audio codec and a video codec. A unique list of the selectable codecs can be generated. The list can include sublists which can identify the codecs. A loss threshold with each sublist based on previously determined performance characteristics of the codecs can be associated. The threshold can be a packet loss threshold value of the link associated with the devices. A packet loss metric of the link can be evaluated. The link can be associated with a codec of the sublists. A programmatic action can be performed to select a different codec from the sublists responsive to the evaluating.

Abstract: A Voice over Internet Protocol (VoIP) session between computing devices can be identified. Each computing device can be associated with a communication link. Each of the computing devices can execute a VoIP application. Each application can include selectable codecs. The codecs can be an audio codec and a video codec. A unique list of the selectable codecs can be generated. The list can include sublists which can identify the codecs. A loss threshold with each sublist based on previously determined performance characteristics of the codecs can be associated. The threshold can be a packet loss threshold value of the link associated with the devices. A packet loss metric of the link can be evaluated. The link can be associated with a codec of the sublists. A programmatic action can be performed to select a different codec from the sublists responsive to the evaluating.

Abstract: In one embodiment, the quality of experience for a multi-part conference call is determined. Values for network characteristics for a conference call between at least three parties is captured using a multi-party conference call system. The network characteristics encompasses at least parameters expressed in an E-Model R-Factor equation. A quality of experience (QoE) is determined that accounts for degradation effects. The determined QoE is represented as a corrected mean opinion score (MOS) perceived by the receiving party. A controllable parameter of the conference call is dynamically and automatically modified to positively affect the determined QoE of the receiving party when the QoS is below a designated minimal QoE threshold.