Shanghai Lilith Technology Corporation

Xin Xiong

Junfeng Li

Zhikai Li

Huanhua Liao

Haonan Zhao

A method for training a model in a virtual environment, a medium, an electronic device, and a computer program product. The method includes: an obtaining step, obtaining one or more initial parameters of each of one or more agents in the virtual environment, and causing each of one or more agents to generate one or more actions; an updating step, causing each agent to simultaneously perform the one or more actions in the virtual environment, so as to calculate, for each agent, one or more parameter variations that are respectively in one-to-one correspondence with the one or more initial parameters, and updating, based on the one or more initial parameters and the one or more parameter variations, to obtain one or more subsequent parameters of each agent in the virtual environment. It enhances scalability and reusability of simulating a game environment, increases the speed of simulating the game environment, and overall reduces the simulation time.

Method for training model in virtual environment, medium, and electronic device

A voice conversion method used in an electronic device, including determining a target speech to be converted and a content representation vector corresponding to the target speech, where the target speech has a first content and a first voiceprint, and the content representation vector is obtained based on the speech waveform of the target speech; determining a reference speech and a voiceprint representation vector corresponding to the reference speech, where the reference speech has a second voiceprint, and the second voiceprint is different from the first voiceprint; generating a converted speech based on a speech generator according to the content representation vector and the voiceprint representation vector; where the converted speech has the first content and the second voiceprint; where the speech generator is obtained by jointly training a preset speech generation network and a preset discriminator network by using a training speech having the second voiceprint.

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Shanghai, China

Xin Xiong