Embodiments of this application provide a real-time voice call control method performed by an electronic device. The method includes: obtaining a mixed call voice in real time during a cloud conference call, where the mixed call voice includes at least one branch voice; determining energy information corresponding to each frequency point of the call voice in a frequency domain; determining an energy proportion of each branch voice at each frequency point in total energy of the frequency point based on the energy information at the frequency point; determining a quantity of branch voices comprised in the call voice based on the energy proportion of each branch voice at each frequency point; and controlling the voice call by setting a call voice control manner based on the quantity of branch voices.

Embodiments of this application provide a real-time voice call control method performed by an electronic device. The method includes: obtaining a mixed call voice in real time during a cloud conference call, where the mixed call voice includes at least one branch voice; determining energy information corresponding to each frequency point of the call voice in a frequency domain; determining an energy proportion of each branch voice at each frequency point in total energy of the frequency point based on the energy information at the frequency point; determining a quantity of branch voices comprised in the call voice based on the energy proportion of each branch voice at each frequency point; and controlling the voice call by setting a call voice control manner based on the quantity of branch voices.

The technology disclosed herein enables removal of extraneous voices from audio in a communication session. In a particular embodiment, a method includes receiving audio captured from an endpoint operated by a user on a communication session. The method further includes identifying an extraneous voice in the audio, wherein the voice is from a person other than the user, and removing the extraneous voice from the audio. After removing the extraneous voice, the method includes transmitting the audio to another endpoint on the communication session.

The technology disclosed herein enables removal of extraneous voices from audio in a communication session. In a particular embodiment, a method includes receiving audio captured from an endpoint operated by a user on a communication session. The method further includes identifying an extraneous voice in the audio, wherein the voice is from a person other than the user, and removing the extraneous voice from the audio. After removing the extraneous voice, the method includes transmitting the audio to another endpoint on the communication session.

A method for improving decomposition of digital signals using training sequences is presented. A method for improving decomposition of digital signals using initialization is also provided. A method for sorting digital signals using frames based upon energy content in the frame is further presented. A method for utilizing user input for combining parts of a decomposed signal is also presented.

A method for improving decomposition of digital signals using training sequences is presented. A method for improving decomposition of digital signals using initialization is also provided. A method for sorting digital signals using frames based upon energy content in the frame is further presented. A method for utilizing user input for combining parts of a decomposed signal is also presented.

A method, computer program product, and computing system for proactive encounter scanning is executed on a computing device and includes obtaining encounter information of a patient encounter. The encounter information is proactively processed to determine if the encounter information is indicative of one or more medical conditions and to generate one or more result set. The one or more result sets are provided to the user.

A method and a system for instrument separating and reproducing for a mixture audio source is provided. The method and/or the system includes inputting selected music into an instrument separation model for extracting features therefrom, determining audio source signals of multiple channels for the separation of all instruments, each channel containing sound of one instrument, and transmitting the signals of the different channels to multiple speakers placed at designated positions for playing, which can reproduce or recreate an immersive sound field listening experience for users.

A method and a system for instrument separating and reproducing for a mixture audio source is provided. The method and/or the system includes inputting selected music into an instrument separation model for extracting features therefrom, determining audio source signals of multiple channels for the separation of all instruments, each channel containing sound of one instrument, and transmitting the signals of the different channels to multiple speakers placed at designated positions for playing, which can reproduce or recreate an immersive sound field listening experience for users.

A system and method for reverberation reduction is disclosed. A first Deep Neural Network (DNN) produces a first estimate of a target direct-path signal from a mixture of acoustic signals that include the target direct-path signal and a reverberation of the target direct-path signal. A filter modeling a room impulse response (RIR) for the first estimate is estimated. The filter when applied to the first estimate of the target direct-path signal generates a result closest to a residual between the mixture of the acoustic signals and the first estimate of the target direct-path signal according to a distance function. A mixture with reduced reverberation of the target direct-path signal is obtained by removing the result of applying the filter to the first estimate of the target direct-path signal from the received mixture. A second DNN produces a second estimate of the target direct-path signal from the mixture with reduced reverberation.