Techniques for teleconferencing with enhanced audio during low-quality connection conditions are disclosed. In the illustrative embodiment, a user of a compute device is teleconferencing with users of one or more remote compute devices. The compute device monitors a connection quality with a remote compute device. If the connection quality drops below a threshold, risking gaps in the audio data, the compute device generates speech code data that can be used to fill in the gaps in the audio data. The remote compute device can use the speech code data to augment the audio data by using a voice model to create additional audio data based on the speech code data.

The disclosed system provides a facility for improving user call quality at a mobile device. The system includes an over-the-top (OTT) client that may be installed on the mobile device for allowing a user to initiate call quality tests. The system performs a call quality test to generate a call quality score or metric from the obtained audio sample via a Call Quality Algorithm. If the call quality score or metric falls below a predetermined threshold, the system may suggest (via the OTT client or via a push notification) that the user of the mobile device switch from the first communication interface (e.g., a radio network such as 4G) to a second communication interface (e.g., Wi-Fi) on the mobile device. The disclosed system tracks the call quality score or metric of multiple mobile devices operating within a telecommunications network, identifies service outages within the network, and notifies impacted mobile devices.

Systems and methods for communications are disclosed. The systems and methods can monitor a cloud-based voice over internet protocol (VoIP) calling system to determine an active call. The systems and methods can also analyze the active call to determine an indication of call quality, the analyzing occurring during the active call. Additionally, the systems and methods can compare the indication of call quality to a quality threshold. The compare can occur during the active call to determine when the active call has a poor call quality. The systems and methods can also report the poor call quality based on the comparing the indication of call quality to the quality 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 conferencing system terminal device includes a display, an audio output, a user interface, a communication device, and one or more processors. The one or more processors present an audio difficulties user actuation target upon the display during an audio or video conference occurring across a network and concurrently with a presentation of conference content. Actuation of the audio difficulties user actuation target indicates that audio content associated with the audio or video conference being delivered by the audio output is impaired.

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.

A computer includes a processor and a memory storing instructions executable by the processor to identify an occupant in a passenger cabin of a vehicle, detect a position of a head of the occupant relative to the passenger cabin, apply a first filter to speech from the occupant based on the position of the head, generate a second filter, apply the second filter to the speech, adjust the second filter based on a difference between the speech of the occupant filtered by the second filter and a prestored profile of the occupant, and perform an operation using the speech filtered by the first filter and the second filter.

The disclosed system identifies international calling performance issues of a wireless telecommunication network. The system receives network traffic data for international calls including information about call attempts to a country. The system categorizes the country into a major category and a minor category based on the call attempts information. For a subset of countries, and for each key performance indicator in a subset of selected key performance indicators, the system monitors performance using an anomaly detection model to identify an anomaly in network performance, determines an actual value of the key performance indicator for the detected anomaly, and computes a variation value of the determined actual value based on a predicted range of values. The system ranks countries using the computed variation values, to indicate problematic parts of the wireless telecommunication network.

The present document relates to a method of determining a perceptual impact of an amount of echo or reverberation in an degraded audio signal on a perceived quality thereof, wherein the degraded audio signal is received from an audio transmission system, wherein the degraded audio signal is obtained by conveying through said audio transmission system a reference audio signal such as to provide said degraded audio signal. The method includes performing a windowing operation on the degraded and reference audio signal by multiplying these with a window function to yield degraded and reference digital audio samples. Local estimates of an amount of echo or reverberation are determined on the basis of these samples.

Method and system are provided for audio quality feedback during live transmission from a source that is received at multiple audience devices. The method carried out at a server includes: obtaining audio information of an audio signal as received by at least some of the audience devices in a transmission session; classifying one or more subsets of the audience devices by one or more common factors per subset; and analyzing the obtained audio information from the audience devices in conjunction with the classifications of the subsets of the audience devices to determine one or more common factors that affect received audio quality at an identified subset of the audience devices classified by the one or more common factors. The method provides feedback of the one or more common factors to at least one of the audience devices in the identified subset or to the source device, or to both.