公开(公告)号：US11790250B2

公开(公告)日：2023-10-17

申请号：US16407252

申请日：2019-05-09

Applicant: Intel Corporation

Inventor： Padmashree Apparao ,  Michal Karzynski

IPC: G06N5/04 ,  G06N3/08

CPC classification number: G06N5/04 ,  G06N3/08

Abstract: Various embodiments are generally directed to an apparatus, system, and other techniques for dynamic and intelligent deployment of a neural network or any inference model on a hardware executor or a combination of hardware executors. Computational costs for one or more operations involved in executing the neural network or inference model may be determined. Based on the computational costs, an optimal distribution of the computational workload involved in running the one or more operations among multiple hardware executors may be determined.

公开(公告)号：US20240331705A1

公开(公告)日：2024-10-03

申请号：US18194248

申请日：2023-03-31

Applicant: INTEL CORPORATION

Inventor： Michal Karzynski ,  Adam Kupryjanow ,  Srikanth Potluri

IPC: G10L17/04

CPC classification number: G10L17/04

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed. An example apparatus includes: interface circuitry; instructions; and programmable circuitry to at least one of execute or instantiate the instructions to: calculate a sample embedding vector that characterizes a speaker based on a first audio signal; perform a first update of a personal embedding vector based on the sample embedding vector, the updated personal embedding vector to characterize the speaker based on a second audio signal and the first audio signal, and perform a second update of the personal embedding vector based on the first update and a universal embedding vector.