AUTOMATIC ACCURACY ESTIMATION FOR AUDIO TRANSCRIPTIONS

• US 20160284342A1
• Filed: 06/03/2016
• Published: 09/29/2016
• Est. Priority Date: 05/03/2012
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Bostick, James E., Ganci, John M. Jr., Kaemmerer, John P., Trim, Craig M.
• Granted Patent: US 9,570,068 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 40/157 using dictionaries or tables
• CPC Class Codes: G06F 40/189 Automatic justification
• CPC Class Codes: G06F 40/226 Validation
• CPC Class Codes: G06F 40/242 Dictionaries
• CPC Class Codes: G06F 40/268 Morphological analysis
• CPC Class Codes: G06F 40/51 Translation evaluation
• CPC Class Codes: G10L 15/01 Assessment or evaluation of speech recognition systems
• CPC Class Codes: G10L 15/1822 Parsing for meaning understanding
• CPC Class Codes: G10L 15/26 Speech to text systems G10L15/08 takes precedence
• CPC Class Codes: G10L 17/20 Pattern transformations or operations aimed at increasing system robustness, e.g. against channel noise or different working conditions

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.

Claims

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 transcription;

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.

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 confidence level is assigned based on an output of a Gaussian function applied to a result of the dividing and the assigning.

7. 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.

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

9. 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 transcription;

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.

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

11. The system of claim 9, wherein the dictionary comprises a dictionary of common language words.

12. The system of claim 9, 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.

13. The system of claim 9, wherein the confidence level is assigned based on an output of a Gaussian function applied to a result of the dividing and the assigning.

14. The system of claim 9, 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.

15. A computer program product for assigning a confidence level to at least one axiom extracted from a text, the computer program product comprising a computer readable storage medium, and program instructions stored on the computer readable storage medium, 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 transcription;

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.

16. The computer program product of claim 15, wherein the dictionary comprises a customer specific dictionary.

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

18. The computer program product of claim 15, 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.

19. The computer program product of claim 15, wherein the confidence level is assigned based on an output of a Gaussian function applied to a result of the dividing and the assigning.

20. The computer program product of claim 15, 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.