GENERALIZED PHRASES IN AUTOMATIC SPEECH RECOGNITION SYSTEMS

• US 20180067924A1
• Filed: 11/13/2017
• Published: 03/08/2018
• Est. Priority Date: 01/08/2014
• Status: Active Grant

• Current Assignee: Genesys Telecommunications Laboratories Incorporated (Genesys Cloud Services Incorporated)
• Original Assignee: Genesys Telecommunications Laboratories Incorporated (Genesys Cloud Services Incorporated)
• Inventors: Faizakof, Avraham, Lev-Tov, Amir, Ollinger, David, Konig, Yochai
• Granted Patent: US 10,824,814 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G10L 15/063 Training
• CPC Class Codes: G10L 15/1815 Semantic context, e.g. disambiguation of the recognition hypotheses based on word meaning
• CPC Class Codes: G10L 15/1822 Parsing for meaning understanding
• CPC Class Codes: G10L 15/19 Grammatical context, e.g. disambiguation of the recognition hypotheses based on word sequence rules
• CPC Class Codes: G10L 15/193 Formal grammars, e.g. finite state automata, context free grammars or word networks

Abstract

A method for generating a suggested phrase having a similar meaning to a supplied phrase in an analytics system includes: receiving, on a computer system comprising a processor and memory storing instructions, the supplied phrase, the supplied phrase including one or more terms; identifying, on the computer system, a term of the phrase belonging to a semantic group; generating the suggested phrase using the supplied phrase and the semantic group; and returning the suggested phrase.

Claims

1. A method for generating a suggested phrase having a similar meaning to a supplied phrase in an analytics system, the method comprising:

receiving, on a computer system comprising a processor and memory storing instructions, the supplied phrase, the supplied phrase comprising one or more terms;

identifying, on the computer system, a term of the phrase belonging to a semantic group;

generating the suggested phrase using the supplied phrase and the semantic group; and

returning the suggested phrase.

2. The method of claim 1, wherein the semantic group is a formal grammar.

3. The method of claim 2, wherein the formal grammar is configured to match one of an amount of money, a date, a time, a telephone number, a credit card number, a social security number, a zip code, and a zip code.

4. The method of claim 2, wherein the suggested phrase corresponds to the supplied phrase with the identified term replaced with the formal grammar.

5. The method of claim 1, wherein the semantic group comprises a plurality of terms.

6. The method of claim 5, wherein the identified term is replaced with a replacement term from the plurality of terms of the semantic group, the replacement term being different from the identified term.

7. The method of claim 5, wherein the semantic group is generated by:

computing differences between each of a plurality of phrases generated by an automatic speech recognition engine, each of the phrases comprising a plurality of terms;

grouping the plurality of phrases by similarity;

identifying locations of differences between the phrases; and

defining a generalized semantic group, the generalized semantic group comprising terms at the locations of the differences in the phrases.

8. The method of claim 5, wherein the identified term is replaced with the semantic group comprising the plurality of terms.

9. The method of claim 1, wherein the identified term is replaced with the semantic group and wherein the suggested phrase is supplied as training data to a speech recognition system.

10. The method of claim 1, wherein the analytics system is a speech analytics system.

11. A system comprising:

a processor; and

a memory, wherein the memory stores instructions that, when executed by the processor, causes the processor to;

receive a supplied phrase, the supplied phrase comprising one or more terms;

identify a term of the phrase belonging to a semantic group;

generate a suggested phrase using the supplied phrase and the semantic group; and

return the suggested phrase.

12. The system of claim 11, wherein the semantic group is a formal grammar.

13. The system of claim 12, wherein the formal grammar is configured to match one of an amount of money, a date, a time, a telephone number, a credit card number, a social security number, a zip code, and a zip code.

14. The system of claim 12, wherein the memory stores instructions to generate the suggested phrase by replacing the identified term in the supplied phrase with the formal grammar.

15. The system of claim 11, wherein the semantic group comprises a plurality of terms.

16. The system of claim 15, wherein the memory stores instructions to replace the identified term with a replacement term from the plurality of terms of the semantic group, the replacement term being different from the identified term.

17. The system of claim 15, wherein the memory stores instructions to cause the processor to generate the semantic group generated by:

computing differences between each of a plurality of phrases generated by an automatic speech recognition engine, each of the phrases comprising a plurality of terms;

grouping the plurality of phrases by similarity;

identifying locations of differences between the phrases; and

defining a generalized semantic group, the generalized semantic group comprising terms at the locations of the differences in the phrases.

18. The system of claim 15, wherein the memory stores instructions to cause the processor to replace the identified term with the semantic group comprising the plurality of terms.

19. The system of claim 11, wherein the memory stores instructions to cause the processor to replace the identified term with the semantic group and wherein the suggested phrase is supplied as training data to a speech recognition system.

20. The system of claim 11, wherein the processor and memory are components of a speech analytics system.