SPEECH PROCESSING METHOD, DEVICE AND SYSTEM

• US 20140297281A1
• Filed: 03/04/2014
• Published: 10/02/2014
• Est. Priority Date: 03/28/2013
• Status: Abandoned Application

• Current Assignee: Fujitsu Limited
• Original Assignee: Fujitsu Limited
• Inventors: Togawa, Taro, Shioda, Chisato, Otani, Takeshi
• Application Number:
  US14/196,202
• Publication Number:
  US 20140297281A1
• Time in Patent Office: Days
• US Class Current: 704/251
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue
• CPC Class Codes: G10L 2015/221 Announcement of recognition results

Abstract

A speech processing method executed by a computer, the speech processing method includes: extracting, based on speech recognition for an input speech data, a plurality of word candidates including a first word candidate and a second word candidate from a memory, the plurality of word candidates being candidates for a word corresponding to the input speech data; determining at least one different part between the first word candidate and the second word candidate based on a comparison between the first word candidate and the second word candidate; and outputting the first word candidate with emphasis on the at least one different part.

Claims

1. A speech processing method executed by a computer, the speech processing method comprising:

extracting, based on speech recognition for an input speech data, a plurality of word candidates including a first word candidate and a second word candidate from a memory, the plurality of word candidates being candidates for a word corresponding to the input speech data;

determining at least one different part between the first word candidate and the second word candidate based on a comparison between the first word candidate and the second word candidate; and

outputting the first word candidate with emphasis on the at least one different part.

2. The speech processing method according to claim 1, further comprising:

calculating a degree of reliability indicating similarity with respect to the input speech data, regarding each of the plurality of word candidates; and

identifying, from among the plurality of word candidates, the first word candidate and the second word candidate having degree of reliability which are equal to or larger than a threshold.

3. The speech processing method according to claim 1, further comprising:

calculating a degree of reliability indicating similarity with respect to the input speech data, regarding each of the plurality of word candidates;

identifying, from among the plurality of word candidates, the first word candidate which has a degree of reliability which is the largest, and the second word candidate which has a degree of reliability which is different by a value that is smaller than a threshold from the largest degree of reliability.

4. The speech processing method according to claim 1, wherein the outputting outputs speech data of the first word candidate with the emphasis, the speech data being stored in the memory and associated with the first word candidate.

5. The speech processing method according to claim 4, wherein the speech data is output with a first strength for the at least one different part and a second strength for rest of the first word candidate, wherein the first strength is stronger than the second strength.

6. The speech processing method according to claim 4, wherein the speech data is output with a first reproduction speed for the at least one different part and a second reproduction speed for rest of the first word candidate, wherein the first reproduction speed is slower than the second reproduction speed.

7. The speech processing method according to claim 4, wherein the speech data is output with a first fundamental frequency for the at least one different part and a second fundamental frequency for rest of the first word candidate, wherein the first fundamental frequency is different from the second fundamental frequency.

8. The speech processing method according to claim 1, wherein the plurality of word candidate are character strings respectively, and the at least one different part are determined based on the comparison between a first character strings of the first word candidate and a second character strings of the second word candidate.

9. The speech processing method according to claim 8, wherein the determining identifies, based on the comparison, a first portion of the first character strings and second portion of the first character strings, the first portion including characters same with a part of the second character strings in same positions, and the second portion being the at least one different part.

10. The speech processing method according to claim 8, wherein the at least one different part is determined using dynamic programming matching for the first character strings and the second character strings.

11. A speech processing device comprising:

a memory; and

a processor coupled to the memory and configured to;

extract, based on speech recognition for an input speech data, a plurality of word candidates including a first word candidate and a second word candidate from the memory, the plurality of word candidates being candidates for a word corresponding to the input speech data,

determine at least one different part between the first word candidate and the second word candidate based on a comparison between the first word candidate and the second word candidate, and

output the first word candidate with emphasis on the at least one different part.

12. The speech processing device according to claim 11, wherein the processor is further configured to:

calculate a degree of reliability indicating similarity with respect to the input speech data, regarding each of the plurality of word candidates, and

identify, from among the plurality of word candidates, the first word candidate and the second word candidate having degree of reliability which are equal to or larger than a threshold.

13. The speech processing device according to claim 11, wherein the processor is further configured to:

calculate a degree of reliability indicating similarity with respect to the input speech data, regarding each of the plurality of word candidates,

identify, from among the plurality of word candidates, the first word candidate which has a degree of reliability which is the largest, and the second word candidate which has a degree of reliability which is different by a value that is smaller than a threshold from the largest degree of reliability.

14. The speech processing device according to claim 11, wherein the plurality of word candidate are character strings respectively, and the at least one different part are determined based on the comparison between a first character strings of the first word candidate and a second character strings of the second word candidate.

15. The speech processing device according to claim 14, wherein the at least one different part is determined using dynamic programming matching for the first character strings and the second character strings.

16. A speech processing method executed by a computer, comprising:

selecting a word candidate from among a plurality of word candidates corresponding to input speech data;

determining at least one different part of the selected word candidate corresponding to a difference between the selected word candidate and at least one of the other of the plurality of word candidates; and

outputting speech of the selected word candidate, the speech distinguishing the at least one different part of the selected word candidate from the rest of the selected word candidate.

17. A system comprising:

a terminal device including a first memory and a first processor, the first processor coupled to the first memory and configured to transmit first speech information of an input speech data; and

a server including a second memory and a second processor, the second processor coupled to the second memory and configured to;

receive the first speech information from the terminal device,

extract, based on an input speech data, a plurality of word candidates including a first word candidate and a second word candidate from a memory, the plurality of word candidates being candidates for a word corresponding to the input speech data,

determine at least one different part between the first word candidate and the second word candidate based on a comparison between the first word candidate and the second word candidate, and

output the first word candidate with emphasis on the at least one different part.