Zoom Video Communications, Inc.

Cisco Technology, Inc.

Qiyong Liu

Zhaofeng Jia

Jing Wu

Oded Gal

Lin Han

Huipin Zhang

Bo Ling

Kai Jin

Jiachuan Deng

Rui Zhang

Yuhui Chen

Xiuyu Xu

Siping Tao

Chuanfei Wang

Yang Liu

Systems and methods for enhancing group sound during a networked conference are provided. A server computer establishes a networked conference among a plurality of computer devices. The server computer receives one or more group sound indicators from one or more computer devices of the plurality of computer devices within a selected time interval. In response to determining that the total number of the one or more computer devices corresponding to the one or more group sound indicators is equal to or greater than a selected threshold, the server computer transmits to the plurality of computer devices a control signal identifying a group sound corresponding to the one or more group sound indicators. The server computer causes the plurality of computer devices to reproduce the group sound identified in the control signal.

Enhancing group sound reactions

An adaptive screen encoding method comprising: using a computer, creating and storing, in computer memory, a plurality of conditions for use by a server configured to determine which of picture coding type to select; detecting a current picture by a sender for a content type including textual content, graphical content, and natural image content; determining a percentage of static macroblocks corresponding to the current picture; selecting the picture coding type based on the content type, the plurality of conditions, and the percentage of static macroblocks, wherein the method is performed by one or more special-purpose computing devices.

Reference picture selection and coding type decision processing based on scene contents

Methods, systems, and apparatus, including computer programs encoded on computer storage media for generating echo recordings. The system receives, by an autoencoder, an audio signal representation that represents an audio signal and a target echo embedding that comprises information about a target room. The autoencoder comprises an encoder and a decoder. The system generates, by the encoder, a content embedding and an estimated echo embedding. The system generates, by the decoder, an echo recording representation based on the content embedding and the target echo embedding.

One-shot acoustic echo generation network

Enhancing group sound during a networked conference is disclosed. In an embodiment, a method includes generating an audio signal at a user equipment (UE), detecting a group sound in the audio signal, generating a group sound indicator that identifies the detected group sound, and transmitting the group sound indicator to a network server. The method also includes receiving, from the network server, a control signal that identifies a selected group sound, and reproducing, at the UE, the selected group sound identified by the control signal.

Methods and systems provide users of a communication platform with intelligent, real-time noise suppression for audio signals broadcasted in a communication session. The system receives an input audio signal from an audio capture device; processes the input audio signal to provide a second version of the audio signal with noise suppression based on DSP techniques; transmits the second version of the audio signal to a communication platform for real-time streaming; classifies, via a machine learning algorithm, whether the second version of the audio signal contains noise beyond a noise threshold; based on a classification that the second version of the audio signal contains noise beyond the noise threshold, processes the second version of the audio signal to provide a third version of the audio signal with noise suppression based on AI techniques; and transmits the third version of the audio signal to the communication platform.

Intelligent noise suppression for audio signals within a communication platform

Dynamic adjustment of audio characteristics for enhancing musical sound during a networked conference is disclosed. In an embodiment, a method is provided for sound enhancement performed by a device coupled to a network. The method includes receiving an audio signal to be transmitted over the network, detecting when musical content is present in the audio signal, processing the audio signal to enhance voice characteristics to generate an enhanced audio signal when the musical content is not detected, processing the audio signal to enhance music characteristic to generate the enhanced audio signal when the musical content is detected, and transmitting the enhanced audio signal over the network.

Methods and apparatus for enhancing musical sound during a networked conference

Methods and apparatus for enhancing group sound reactions during a networked conference

Adaptive screen encoding control

An error resilience method comprising: using a computer, creating and storing, in computer memory, one or more FEC filter tables for use by the FEC filter for selectively forwarding a FEC packet; selectively forwarding a request for the FEC packet through a FEC filter based on the FEC table and a dynamic packet loss level at a receiver; limiting a re-transmission request for a particular packet through the FEC filter based on a number of re-transmission requests for the particular packet; and selectively skipping a key frame request based on a number of key frame requests received from a plurality receiver devices, wherein the method is performed by one or more special-purpose computing devices.

Error resilience for interactive real-time multimedia application

Error resilience for interactive real-time multimedia applications

In one embodiment, a process determines a size of a video unit (e.g., frame) to transmit from a sender to a receiver across a communication channel for an associated video stream, and also determines an updated packet loss rate on the channel. In response, the process may dynamically determine both a number N of video data packets and a number M of forward error correction (FEC) packets to transmit for the video unit based on the size of the video unit, the updated packet loss rate on the channel, and an error resilience requirement for the video stream. In an illustrative embodiment, N and M are determined during transmission of the video stream through a look-up operation into a table indexed by the size of the video unit and the updated packet loss rate as co-indices, the co-indices co-indexing a pre-determined N and M pair.

Growing community of inventors

Hangzhou, China

Qiyong Liu