Automatic accuracy estimation for audio transcriptions

Patent metadata

Field	Value
Publication number	US-9570068-B2
Application number	US-201615172531-A
Country	US
Kind code	B2
Filing date	Jun 3, 2016
Priority date	May 3, 2012
Publication date	Feb 14, 2017
Grant date	Feb 14, 2017

Abstract

Embodiments of the present invention provide an approach for estimating the accuracy of a transcription of a voice recording. Specifically, in a typical embodiment, each word of a transcription of a voice recording is checked against a customer-specific dictionary and/or a common language dictionary. The number of words not found in either dictionary is determined. An accuracy number for the transcription is calculated from the number of said words not found and the total number of words in the transcription.

First claim

What is claimed is:

1. A method of assigning a confidence level to at least one axiom extracted from a text, comprising:
comparing at least one word from the text to a dictionary;
determining a number of accurate words based on the comparing;
dividing the number of accurate words by a total number of words in the text;
assigning a greater weight to at least one word exceeding a predetermined number of characters as compared to at least one other word below the predetermined number of characters;
retrieving, from a data structure, at least one axiom associated with at least one word from the text; and
assigning the confidence level to the at: least one axiom based on a result of the dividing and the assigning of the greater weight, wherein the confidence level is assigned based on an output of a Gaussian function applied to the result of the dividing and the assigning of the greater weight.

2. The method of claim 1 , wherein the dictionary comprises a customer specific dictionary.

3. The method of claim 1 , wherein the dictionary comprises a dictionary of common language words.

4. The method of claim 1 , further comprising determining a number of inaccurately spelled words in the transcription based on the comparing.

5. The method of claim 4 , wherein the determining the number of inaccurate comprises identifying a number of words not found in the dictionary.

6. The method of claim 1 , wherein the at least one axiom comprises a computer-parsable definition of a relationship of data to the at least one of the words in the transcription.

7. The method of claim 1 , wherein a solution service provider provides a computer infrastructure operable to perform the method.

8. A system for assigning a confidence level to at least one axiom extracted from a text, comprising:
a memory medium comprising instructions;
a bus coupled to the memory medium; and
an audio transcription tool coupled to the bus that when executing the instructions causes the system to:
compare at least one word from the text to a dictionary;
determine a number of accurate words based on the comparing;
divide the number of accurate words by a total number of words in the text;
assign a greater weight to at least one word exceeding a predetermined number of characters as compared to at least one other word below the predetermined number of characters;
retrieve, from a data structure, at least one axiom associated with at least one word from the text; and
assign the confidence level to the at least one axiom based on a result of the dividing and the assigning of the greater weight, wherein the confidence level is assigned based on an output of a Gaussian function applied to the result of the dividing and the assigning of the greater weight.

9. The system of claim 8 , wherein the dictionary comprises a customer specific dictionary.

10. The system of claim 8 , wherein the dictionary comprises a dictionary of common language words.

11. The system of claim 8 , the an audio transcription tool coupled to the bus that when executing the instructions further causes the system to determine a number of inaccurately spelled words in the transcription based on the comparing.

12. The system of claim 8 , wherein the at least one axiom comprises a computer-parsable definition of a relationship of data to the at least one of the words in the transcription.

13. A computer program product comprising a computer readable hardware storage device for assigning a confidence level to at least one axiom extracted from a text, and program instructions stored on the computer readable hardware storage device, to:
compare at least one word from the text to a dictionary;
determine a number of accurate words based on the comparing;
divide the number of accurate words by a total number of words in the text;
assign a greater weight to at least one word exceeding a predetermined number of characters as compared to at least one other word below the predetermined number of characters;
retrieve, from a data structure, at least one axiom associated with at least one word from the text; and
assign the confidence level to the at least one axiom based on a result of the dividing and the assigning of the greater weight, wherein the confidence level is assigned based on an output of a Gaussian function applied to the result of the dividing and the assigning of the greater weight.

14. The computer program product of claim 13 , wherein the dictionary comprises a customer specific dictionary.

15. The computer program product of claim 13 , wherein the dictionary comprises a dictionary of common language words.

16. The computer program product of claim 13 , the computer program product comprising a computer readable storage medium, and program instructions stored on the computer readable storage medium, to determine a number of inaccurately spelled words in the transcription based on the comparing.

17. The computer program product of claim 13 , wherein the at least one axiom comprises a computer-parsable definition of a relationship of data to the at least one of the words in the transcription.

Assignees

• IBM

Inventors

• Bostick James E
• Ganci Jr John M
• Kaemmerer John P
• Trim Craig M

Classifications

• G06F40/226

  Validation · CPC title

• G06F40/157

  using dictionaries or tables · CPC title

• G06F40/189

  Automatic justification · CPC title

• G10L15/01 Primary

  Assessment or evaluation of speech recognition systems · CPC title

• G10L17/20

  Pattern transformations or operations aimed at increasing system robustness, e.g. against channel noise or different working conditions · CPC title