Patents
Literature
2 results about "Probabilistic generative model" patented technology
Efficacy Topic
Property
Owner
Technical Advancement
Application Domain
Technology Topic
Technology Field Word
Patent Country/Region
Patent Type
Patent Status
Application Year
Inventor
A generative model describes how data is generated, in terms of a probabilistic model. In the scenario of supervised learning, a generative model estimates the joint probability distribution of data P(X, Y) between the observed data X and corresponding labels Y [1].
Apparatus and method for generating speech video
PCT designated stageWO2026116633A1Speech analysisCharacter and pattern recognitionLatent vectorSpeech sound
Disclosed are an apparatus and method for providing a speech video. The apparatus for generating a speech video according to an embodiment comprises: an encoder for encoding a person image to generate an identity latent vector; a voice emotion recognition model for recognizing emotion from speech audio; a motion latent vector generation model which is a probabilistic generative model for generating a motion latent vector on the basis of the speech audio and the emotion; and a decoder for generating a speech video of speech spoken by the corresponding person on the basis of the identity latent vector and the motion latent vector.
Owner:DEEPBRAIN AI INC
Apparatus and method for generating speech video
Disclosed are an apparatus and a method for generating a speech video. The apparatus for generating a speech video, according to one embodiment, comprises: an encoder for encoding a person image so as to generate an identity latent vector; a motion latent vector generation model which is a flow matching-based probabilistic generative model for generating a motion latent vector on the basis of a speech audio; and a decoder for generating a speech video of the corresponding person uttering, on the basis of the identity latent vector and the motion latent vector.
Owner:DEEPBRAIN AI INC