公开(公告)号：US11527240B2

公开(公告)日：2022-12-13

申请号：US16529010

申请日：2019-08-01

Applicant: Industrial Technology Research Institute

Inventor： Chi-Yueh Lin ,  Jiang-Chun Chen ,  Chih-Chung Kuo

IPC: G10L15/26 ,  G10L15/187 ,  G10L15/04 ,  G10L15/22 ,  G06F40/242

Abstract: A speech recognition system and method thereof are provided. The speech recognition system connects to an external general-purpose speech recognition system, and including a storage unit and a processing unit. The storage unit stores a specific application speech recognition module, a comparison module and an enhancement module. The specific application speech recognition module converts a speech signal into a first phonetic text. The general-purpose speech recognition system converts the speech signal into a written text. The comparison module receives the first phonetic text and the written text, converts the written text into a second phonetic text, and aligns the second phonetic text with the first phonetic text according to similarity of pronunciation to output a phonetic text alignment result. The enhancement module receives the phonetic text alignment result, and constructs with the written text and the first phonetic text after path weighting to form an outputting recognized text.

公开(公告)号：US20200160850A1

公开(公告)日：2020-05-21

申请号：US16529010

申请日：2019-08-01

Applicant: Industrial Technology Research Institute

Inventor： Chi-Yueh Lin ,  Jiang-Chun Chen ,  Chih-Chung Kuo

IPC: G10L15/187 ,  G06F17/27 ,  G10L15/22 ,  G10L15/04

Abstract: A speech recognition system and method thereof are provided. The speech recognition system connects to an external general-purpose speech recognition system, and including a storage unit and a processing unit. The storage unit stores a specific application speech recognition module, a comparison module and an enhancement module. The specific application speech recognition module converts a speech signal into a first phonetic text. The general-purpose speech recognition system converts the speech signal into a written text. The comparison module receives the first phonetic text and the written text, converts the written text into a second phonetic text, and aligns the second phonetic text with the first phonetic text according to similarity of pronunciation to output a phonetic text alignment result. The enhancement module receives the phonetic text alignment result, and constructs with the written text and the first phonetic text after path weighting to form an outputting recognized text.

公开(公告)号：US10002609B2

公开(公告)日：2018-06-19

申请号：US14541116

申请日：2014-11-13

Applicant: Industrial Technology Research Institute

Inventor： Hsin-Chang Chang ,  Jiang-Chun Chen ,  Chih-Chung Kuo

IPC: G10L15/00 ,  G06F17/20 ,  G10L15/22 ,  G10L15/32 ,  G10L15/06 ,  G10L15/065

CPC classification number: G10L15/22 ,  G10L15/063 ,  G10L15/065 ,  G10L15/32

Abstract: A recognition network generation device, disposed in an electronic device, comprising: an operation record storage device storing a plurality of operation records of the electronic device, wherein each of the operation records includes operation content executed by the electronic device and device peripheral information detected by the electronic device when the electronic device executes the operation content; an activity model constructor classifying the operation records into a plurality of activity models according to all the device peripheral information of the operation records; an activity predictor selecting at least one selected activity model according to the degree of similarity between each of the activity models and a current device peripheral information detected by the electronic device; and a weight adjustor adjusting the weights of a plurality of recognition vocabularies by taking into account a number of times each recognition vocabulary appears in all operations contents of the activity models, wherein the recognition vocabularies correspond to all the operation content of the at least one selected activity model.