CORRECTING TEXT WITH VOICE PROCESSING

• US 20140095160A1
• Filed: 09/16/2013
• Published: 04/03/2014
• Est. Priority Date: 09/29/2012
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Bao, Sheng Hua, Chen, Jian, Liu, Wen, Qin, Yong, Shi, Qin, Su, Zhong, Zhang, Shi Lei
• Granted Patent: US 9,484,031 B2
• Time in Patent Office: Days
• US Class Current: 704/235
• CPC Class Codes: G06F 40/166 Editing, e.g. inserting or deleting
• CPC Class Codes: G06F 40/232 Orthographic correction, e.g. spell checking or vowelisation
• CPC Class Codes: G06F 40/53 Processing of non-Latin text kana-to-kanji conversion G06F40/129; vowelisation G06F40/232
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue
• CPC Class Codes: G10L 15/26 Speech to text systems G10L15/08 takes precedence
• CPC Class Codes: G10L 2015/025 Phonemes, fenemes or fenones being the recognition units

Abstract

The present invention relates to voice processing and provides a method and system for correcting a text. The method comprising: determining a target text unit to be corrected in a text; receiving a reference voice segment input by the user for the target text unit; determining a reference text unit whose pronunciation is similar to a word in the target text unit based on the reference voice segment; and correcting the word in the target text unit in the text by the reference text unit. The present invention enables the user to easily correct errors in the text vocally.

Claims

1. A method of correcting text, the comprising:

determining a target text unit to be corrected in the text;

receiving a reference voice segment input by the user for the target text unit;

determining a reference text unit whose pronunciation is similar to a word in the target text unit based on the reference voice segment; and

correcting the word in the target text unit in the text by the reference text unit.

2. The method according to claim 1, wherein the text is a recognized text of voice data.

3. The method according to claim 1, wherein determining a reference text unit whose pronunciation is similar to a word in the target text unit based on the reference voice segment comprises:

performing voice recognition on the reference voice segment to obtain the reference text segment;

determining the reference text unit whose pronunciation is similar to the word in the target text unit from the reference text segment.

4. The method according to claim 3, wherein determining the reference text unit whose pronunciation is similar to the word in the target text unit from the reference text segment comprises:

parsing a phoneme corresponding to the reference text segment and a phoneme corresponding to the target text unit;

determining the reference text unit whose pronunciation is similar to the word in the target text unit from the reference text segment based on phoneme similarity.

5. The method according to claim 1, wherein determining a reference text unit whose pronunciation is similar to a word in the target text unit based on the reference voice segment comprises:

performing voice recognition on the reference voice segment to obtain the reference text segment;

determining a voice sub-segment whose pronunciation is similar to the word in the target text unit from the reference voice segment based on pronunciation similarity;

obtaining the reference text unit corresponding to the voice sub-segment from the reference text segment.

6. The method according to claim 1, wherein the determined reference text unit is multiple reference text units, wherein correcting the word in the target text unit in the text by the reference text unit further comprises:

receiving a selection by the user for one of the multiple reference text units to correct at least one word in the target text unit.

7. The method according to claim 1, wherein the determined reference text unit is multiple reference text units, wherein correcting the word in the target text unit in the text by the reference text unit further comprises:

selecting the reference text unit for correcting the word in the target text unit based on the confidences of the multiple reference text units.

8. The method according to claim 1, further comprising:

recognizing unit boundaries of text units in the text.

9. The method according to claim 1, wherein determining a target text unit to be corrected in a text comprises:

receiving a selection by the user for text units in the text to determine the target text unit to be corrected.

10. The method according to claim 2, wherein determining the target text unit to be corrected in a text comprises:

obtaining the confidences of text units in the recognized text of the voice data;

determining the target text unit to be corrected based on the confidences.

11-20. -20. (canceled)