公开(公告)号：US20170110113A1

公开(公告)日：2017-04-20

申请号：US15293879

申请日：2016-10-14

Applicant: Samsung Electronics Co., Ltd.

Inventor： Junesig SUNG ,  Gunu JHO ,  Jaecheol BAE ,  Gwanghoon KIM ,  Hana KO ,  Sora BAE ,  Eunzu YUN ,  Hongil CHO

IPC: G10L13/08 ,  G10L13/04 ,  G10L13/033

CPC classification number: G10L13/086 ,  G10L13/0335 ,  G10L13/04 ,  G10L13/06

Abstract: An electronic device is provided. The electronic device includes a processor and a memory electrically connected to the processor. The memory stores a super-clustered common acoustic data set and instructions to allow the processor to acquire at least one text, select information associated with a speech into which the acquired text is transformed, when the selected information is first information, select at least one of first paths, load elements of the super-clustered common acoustic data set based on the selected first paths, and generate a first acoustic signal based on the elements of the super-clustered common acoustic data set, and when the selected information is second information, select at least one of second paths, load elements of the super-clustered common acoustic data set based on the at least one second path, and generate a second acoustic signal based on the elements of the super-clustered common acoustic data set.

公开(公告)号：US20230245647A1

公开(公告)日：2023-08-03

申请号：US18107652

申请日：2023-02-09

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Gunu JHO ,  Hoseon SHIN

IPC: G10L15/06 ,  G10L15/187 ,  G10L15/22

CPC classification number: G10L15/063 ,  G10L15/187 ,  G10L15/22 ,  G10L2015/0635 ,  G10L2015/223 ,  G10L15/30

Abstract: An example electronic device may include a memory configured to store instructions and a processor electrically connected to the memory and configured to execute the instructions. When the instructions are executed by the processor, the processor may be configured to create an automatic speech recognition (ASR) language model including information about a plurality of candidate transliterations for a variously utterable text, based on a context of a user indicating a situation of the user, a basic language model, or a customized language model and update the customized language model in response to an utterance of the user matching one of the plurality of candidate transliterations.