公开(公告)号：US10916240B2

公开(公告)日：2021-02-09

申请号：US16401726

申请日：2019-05-02

Applicant: LG ELECTRONICS INC.

Inventor： Jeehye Lee ,  Hwansik Yun ,  Eugene Kim

IPC: G10L15/14 ,  G10L15/06 ,  G06N3/08 ,  G10L15/16

Abstract: A terminal includes a memory configured to store voice data and a processor configured to measure reliability of learnable data stored in the memory, to classify the learnable data into learning data or adaptive data according to the measured reliability, to generate a learning model by performing unsupervised learning with respect to the learning data, to generate an adaptive model using the adaptive data, and to evaluate recognition performance of each of the learning model and the adaptive model.

公开(公告)号：US11164565B2

公开(公告)日：2021-11-02

申请号：US16561651

申请日：2019-09-05

Applicant: LG ELECTRONICS INC.

Inventor： Jeehye Lee

IPC: G10L15/14 ,  G06N20/00 ,  G10L15/16 ,  G10L15/01

Abstract: A learning system and method for updating recognition performance by assigning weights according to a confidence level of data are discussed. The unsupervised learning system includes a memory configured to store speech data received from a server that performs speech recognition; and a processor configured to measure confidence levels of pieces of learnable data stored in the memory and classify the pieces of learnable data into learning data and adaptation data, generate a learning model by performing unsupervised learning on the learning data, generate an adaption model using the adaptation data, and evaluate speech recognition performance for the learning model and the adaptation model, wherein the processor is configured to assign weights by applying the measured confidence levels to the learning model and the adaptation model and update recognition performance with the learning model and the adaptation model to which the weights are applied.

公开(公告)号：US11551672B2

公开(公告)日：2023-01-10

申请号：US17061166

申请日：2020-10-01

Applicant: LG ELECTRONICS INC.

Inventor： Jeehye Lee ,  Seonyeong Park

IPC: G10L15/16 ,  G10L15/06 ,  G10L15/02 ,  G10L15/07

Abstract: A method for generating an acoustic model is disclosed. The method can generate the acoustic model with high accuracy through learning data including various dialects by training the acoustic model using text data, to which regional information is tagged, and changing a parameter of the acoustic model based on the tagged regional information. The acoustic model can be associated with an artificial intelligence module, an unmanned aerial vehicle (UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, devices related to 5G services, and the like.

公开(公告)号：US11355101B2

公开(公告)日：2022-06-07

申请号：US16814869

申请日：2020-03-10

Applicant: LG ELECTRONICS INC.

Inventor： Jeehye Lee

IPC: G10L15/00 ,  G10L15/06 ,  G06N3/08 ,  G06N3/04 ,  G10L15/02 ,  G10L15/22 ,  G10L15/30

Abstract: Disclosed is an artificial intelligence (AI) apparatus for training an acoustic model, and more particularly, an AI apparatus for training an acoustic model including a shared network and a branch network connected to the shared network using speech data and phonemes corresponding to the speech data.