SPEECH RECOGNITION SYSTEM AND METHOD

• US 20150019221A1
• Filed: 11/04/2013
• Published: 01/15/2015
• Est. Priority Date: 07/15/2013
• Status: Abandoned Application

• Current Assignee: Chunghwa Picture Tubes Limited
• Original Assignee: Chunghwa Picture Tubes Limited
• Inventors: LEE, Guan-Liang, CHIANG, Chih-Yin, CHANG, Che-Wei
• Application Number:
  US14/070,594
• Publication Number:
  US 20150019221A1
• Time in Patent Office: Days
• US Class Current: 704/246
• CPC Class Codes: G10L 15/08 Speech classification or search
• CPC Class Codes: G10L 15/18 using natural language modelling
• CPC Class Codes: G10L 15/30 Distributed recognition, e.g. in client-server systems, for mobile phones or network applications

Abstract

A speech recognition system includes a server, a data transmission interface and a speech recognition device. The speech recognition device builds a connection with the server through the data transmission interface. The speech recognition device includes a microphone, an output unit and a processing unit. The processing unit transmits received user information to the server through the data transmission interface to obtain a corresponding personal dictionary file. The personal dictionary file is generated according to history of speech recognition result and related data, which is used by others recently. The processing unit receives a voice signal to be recognized through the microphone and converts it into a digital characteristic file according to a voiceprint file of the user. The processing unit searches the personal dictionary file according to the digital characteristic file to obtain a speech recognition result for outputting through the output unit.

Claims

1. A speech recognition system, comprising:

a server;

a data transmission interface; and

a speech recognition device building a connection with the server through the data transmission interface, wherein the speech recognition device comprises;

a microphone;

an output unit; and

a processing unit electrically connected to the microphone and the output unit, wherein the processing unit comprise

a user-information receiving module configured to receive user information of a user;

a personal-dictionary obtaining module configured to transmit the user information to the server through the data transmission interface to obtain a personal dictionary file corresponding to the user information;

a speech-signal receiving module configured to receive a speech signal of the user to be recognized through the microphone;

an audio converting module configured to convert the speech signal to be recognized into a digital characteristic file according to a voiceprint file corresponding to the user; and

a searching module configured to search the personal dictionary file according to the digital characteristic file to obtain a speech recognition result, and to output the speech recognition result through the output unit.

2. The speech recognition system of claim 1, wherein the processing unit further comprises:

a voice identifying module configured to receive a voice signal of the user through the microphone, to identify who the user is according to the voice signal to generate an identification result, and to correspondingly generate the user information according to the identification result.

3. The speech recognition system of claim 1, wherein the server comprises:

an update module configured to update the personal dictionary file according to information regarding whether the speech recognition result is correct or not, which is received from the speech recognition device through the data transmission interface.

4. The speech recognition system of claim 3, wherein the processing unit further comprises:

a recognition-error determining module, wherein, when another speech signal received through the microphone is the same as the previous speech signal of the user to be recognized, the recognition-error determining module determines that the speech recognition result is erroneous.

5. The speech recognition system of claim 1, wherein the server comprises:

a related-dictionary providing module configured to receive the speech recognition result through the data transmission interface, and to transmit a related dictionary file to the speech recognition device according to the speech recognition result for the searching module to perform searching.

6. A speech recognition method, comprising:

(a) receiving user information of a user through a speech recognition device;

(b) transmitting the user information to a server through the speech recognition device to obtain a personal dictionary file corresponding to the user information;

(c) receiving a speech signal of the user to be recognized through a microphone of the speech recognition device;

(d) converting the speech signal to be recognized into a digital characteristic file according to a voiceprint file corresponding to the user through the speech recognition device; and

(e) searching the personal dictionary file according to the digital characteristic file to obtain a speech recognition result through the speech recognition device, and outputting the speech recognition result.

7. The speech recognition method of claim 6, further comprising:

receiving a voice signal of the user through the microphone of the speech recognition device; and

identifying who the user is according to the voice signal to generate an identification result, and correspondingly generating the user information according to the identification result.

8. The speech recognition method of claim 6, further comprising:

receiving information regarding whether the speech recognition result is correct or not from the speech recognition device through the server, wherein the server updates the personal dictionary file according to the information regarding whether the speech recognition result is correct or not.

9. The speech recognition method of claim 8, further comprising:

determining that the speech recognition result is erroneous when another speech signal received through the microphone of the speech recognition device is the same as the previous speech signal of the user to be recognized.

10. The speech recognition method of claim 6, further comprising:

receiving the speech recognition result through the server; and

transmitting a related dictionary file to the speech recognition device according to the speech recognition result through the server.

11. The speech recognition method of claim 6, wherein the speech recognition device stores a preset dictionary file, and the speech recognition method further comprises:

using the preset dictionary file as the personal dictionary file when the speech recognition device cannot identify the user information.

12. The speech recognition method of claim 6, further comprising:

generating a currently used dictionary file according to conversation content from the user and speech-recognition history information of the user and storing the currently used dictionary file in the server, wherein the server uses the currently used dictionary file as the personal dictionary file corresponding to the user information.

13. The speech recognition method of claim 12, wherein the server further stores a recently used dictionary file, wherein the recently used dictionary file is generated according to a speech recognition service history provided by the server, wherein the speech recognition method further comprises:

when a recognition correctness rate using the currently used dictionary file as the personal dictionary file corresponding to the user information is lower than a threshold value, utilizing the recently used dictionary file for performing the speech recognition.

14. The speech recognition method of claim 12, wherein the server further stores a private dictionary file of the user, and the private dictionary file stores at least one common word used by the user, and the speech recognition method further comprises:

modifying the currently used dictionary file according to the private dictionary file of the user.

15. The speech recognition method of claim 6, wherein the server further stores a plurality of professional dictionary files corresponding to a plurality of professional categories, and the speech recognition method further comprises:

obtaining at least one category needed to be modified; and

modifying the personal dictionary file corresponding to the user information according to the professional dictionary files corresponding to the category needed to be modified.