MUMBAI, India, Oct. 31 -- Intellectual Property India has published a patent application (202517093445 A) filed by Orange, Issy-les-Moulineaux, France, on Sept. 29, for 'optimised quantisation of latent space in neural audio encoding.'
Inventor(s) include Muller, Thomas; Ragot, Stephane; and Philippe, Pierrick.
The application for the patent was published on Oct. 31, under issue no. 44/2025.
According to the abstract released by the Intellectual Property India: "The invention relates to a method for encoding an audio signal comprising an analysis (E401) of the audio signal by an analysis neural network in order to obtain a latent representation of the audio signal and in which the encoding of the latent representation is carried out according to the following steps: applying (E404) an orthogonal linear transformation (T) to a latent vector (z) representative of the latent representation of the audio signal or to a preprocessed latent vector (z') in order to obtain a transformed latent vector (y); quantising (E405) the transformed latent vector (y) obtained thereby. The invention also relates to a corresponding method for decoding an audio signal and to a corresponding encoding device and to a corresponding decoding device."
The patent application was internationally filed on Apr. 10, 2024, under International application No.PCT/EP2024/059643.
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