METHODS AND APPARATUS FOR EXTRACTING ALTERNATE MEDIA TITLES TO FACILITATE SPEECH RECOGNITION

• US 20110231189A1
• Filed: 03/19/2010
• Published: 09/22/2011
• Est. Priority Date: 03/19/2010
• Status: Abandoned Application

• Current Assignee: Nuance Communications, Inc. (Microsoft Corporation)
• Original Assignee: Nuance Communications, Inc. (Microsoft Corporation)
• Inventors: Couvreur, Christophe Nestor George, Anastasiadis, Josef Damianus
• Application Number:
  US12/727,399
• Publication Number:
  US 20110231189A1
• Time in Patent Office: Days
• US Class Current: 704/243
• CPC Class Codes: G06F 16/3334 Selection or weighting of terms from queries, including natural language queries
• CPC Class Codes: G06F 16/632 Query formulation
• CPC Class Codes: G06F 16/68 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/685 using automatically derived transcript of audio data, e.g. lyrics speech recognition G10L15/00
• CPC Class Codes: G10L 15/26 Speech to text systems G10L15/08 takes precedence
• CPC Class Codes: G10L 2015/228 of application context

Abstract

Techniques for generating a set of one or more alternate titles associated with stored digital media content and updating a speech recognition system to enable the speech recognition system to recognize the set of alternate titles. The system operates on an original media title to extract a set of alternate media titles by applying at least one rule to the original title. The extracted set of alternate media titles are used to update the speech recognition system prior to runtime. In one aspect rules that are applied to original titles are determined by analyzing a corpus of original titles and corresponding possible alternate media titles that a user may use to refer to the original titles.

Claims

1. A method for generating a set of one or more alternate music titles from an original title associated with stored digital music, the method comprising:

extracting, with at least one processor, the set of alternate music titles by applying at least one rule to the original title; and

updating a speech recognition system based, at least in part, on the set of alternate music titles extracted from the original title to enable the speech recognition system to recognize the set of alternate music titles.

2. The method of claim 1, wherein updating the speech recognition system comprises associating each member of the set of alternate music titles with the stored digital music.

3. The method of claim 2, further comprising:

recognizing, by the speech recognition system, an utterance from a user; and

accessing the stored digital music when it is determined that the recognized utterance corresponds to a member of the set of alternate music titles.

4. The method of claim 1, wherein the original title is selected from a group consisting of an album title, a song title, and an artist title.

5. The method of claim 1, wherein the at least one rule comprises rearranging at least one word in the original title.

6. The method of claim 1, wherein the at least one rule comprises a plurality of rules and the method further comprises applying the plurality of rules to the original title in a cascaded manner to generate the set of alternate music titles.

7. The method of claim 1, wherein the at least one rule comprises expanding at least one abbreviation in the original title to at least one word associated with the at least one abbreviation.

8. The method of claim 1, wherein the at least one rule comprises replacing at least one symbol in the original title with at least one word corresponding to the at least one symbol.

9. The method of claim 1, wherein the at least one rule comprises deleting an expression within brackets in the original title.

10. The method of claim 1, wherein the at least one rule comprises dividing based, at least in part, on at least one delimiter in the original title, the original title into two or more components that each comprises a member of the set of alternate music titles.

11. The method of claim 1, wherein the at least one rule comprises deleting at least one word from the original title.

12. The method of claim 1, wherein updating the speech recognition system comprises:

generating at least one grammar for the speech recognition system based, at least in part on the set of alternate music titles.

13. The method of claim 1, further comprising:

selecting the at least one rule based, at least in part, on a category of the original title, wherein the category is selected from a group consisting of an album title, a song title, and an artist title.

14. At least one non-transitory computer readable storage medium encoded with a plurality of instructions that, when executed by a computer, perform a method for extracting a set of alternate music titles from a full title associated with stored digital music, the method comprising:

extracting, with at least one processor, the set of alternate music titles by applying at least one rule to the original title; and

updating a speech recognition system based, at least in part, on the set of alternate music titles extracted from the original title to enable the speech recognition system to recognize the set of alternate music titles.

15. The computer readable storage medium of claim 14, wherein the method further comprises:

selecting the at least one rule based, at least in part, on a category of the original title, wherein the category is selected from a group consisting of an album title, a song title, and an artist title.

16. The computer readable storage medium of claim 14, wherein the at least one rule comprises a plurality of rules and the method further comprises applying the plurality of rules to the original title in a cascaded manner to generate the set of alternate music titles.

17. The computer readable storage medium of claim 14, wherein updating the speech recognition system comprises:

generating at least one grammar for the speech recognition system based, at least in part on the set of alternate music titles.

18. A computer, comprising:

at least one processor programmed to;

analyze a corpus of original music titles to determine possible alternate music titles that a user may use to identify the original music titles in the corpus;

identify at least one pattern based, at least in part on, relationships between the possible alternate music titles and the original music titles; and

create at least one rule for extracting an alternate music title based, at least in part on the at least one pattern.

19. The computer of claim 18, wherein the at least one processor is further programmed to:

identify the at least one pattern by applying at least one statistical analysis to the possible alternate music titles.

20. The computer of claim 18, wherein the at least one processor is further programmed to:

determine a frequency of occurrence of the at least one pattern in the corpus; and

create the at least one rule only when the frequency of occurrence of the at least one pattern is greater than a threshold value.

21. A method for generating a set of one or more alternate media titles from an original title associated with stored digital media content, the method comprising:

extracting, with at least one processor, the set of alternate media titles by applying at least one rule to the original title; and

updating a speech recognition system based, at least in part, on the set of alternate media titles extracted from the original title to enable the speech recognition system to recognize the set of alternate media titles.

22. The method of claim 21, wherein the stored digital media content is selected from a group consisting of music, pictures, videos, audio books, and video games.