Speech recognition apparatus, speech recognition method, and computer-readable recording medium in which speech recognition program is recorded

• US 20030200090A1
• Filed: 04/16/2003
• Published: 10/23/2003
• Est. Priority Date: 04/17/2002
• Status: Abandoned Application

• Current Assignee: Pioneer Corporation
• Original Assignee: Pioneer Corporation
• Inventors: Kawazoe, Yoshihiro
• Application Number:
  US10/414,312
• Publication Number:
  US 20030200090A1
• Time in Patent Office: Days
• US Class Current: 704/251
• CPC Class Codes: G10L 15/00 Speech recognition G10L17/00 takes precedence
• CPC Class Codes: G10L 15/142 Hidden Markov Models [HMMs]
• CPC Class Codes: G10L 2015/088 Word spotting

Abstract

A speech recognition apparatus comprises a speech analyzer which extracts feature patterns of spontaneous speech divided into frames; a keyword model database which prestores keyword which represent feature patterns of a plurality of keywords to be recognized; a garbage model database which prestores feature patterns of components of extraneous speech to be identified; and a likelihood calculator which calculates likelihood of feature values based on feature values patterns of each frames, keywords, and extraneous speech. The device recognizes a keyword contained in the spontaneous speech by calculating cumulative likelihood based on the likelihood for each frame to match each HMM.

Claims

1. A speech recognition apparatus for recognizing at least one of keywords contained in uttered spontaneous speech, comprising:

an extraction device for extracting a spontaneous-speech feature value, which is feature value of speech ingredient of the spontaneous speech, by analyzing the spontaneous speech;

a recognition device for recognizing said keyword by identifying at least one of said keyword and extraneous speech contained in the spontaneous speech based on the spontaneous-speech feature value, said extraneous speech indicating non-keyword; and

a database in which an extraneous-speech component feature data is prestored, said extraneous-speech component feature data indicating feature value of speech ingredient of extraneous-speech component which is component of the extraneous speech,

wherein the recognition device identifies the extraneous speech contained in the spontaneous speech based on the extracted spontaneous-speech feature value and the stored extraneous-speech component feature data.

2. The speech recognition apparatus according to claim 1, wherein said extraneous-speech component feature data prestored in said database has data of characteristics of feature values of speech ingredient of a plurality of the extraneous-speech components.

3. The speech recognition apparatus according to claim 2, wherein said extraneous-speech component feature data prestored in said database represents one data of feature value of the speech ingredients which has been obtained by combining feature values of a plurality of the extraneous-speech components.

4. The speech recognition apparatus according to claim 2, wherein said extraneous-speech component feature data prestored in said database has data of feature values of the speech ingredient of a plurality of the extraneous-speech components.

5. The speech recognition apparatus according to claim 2, in case where a plurality of said extraneous-speech component feature data are prestored in said database, wherein the extraneous-speech component feature data represents data of feature values of speech ingredients generated for each type of speech sound which is a configuration component of speech.

6. The speech recognition apparatus according to claim 1, wherein the extraneous-speech component feature data prestored in said database represents data of feature value of at least one of phoneme and syllable.

7. The speech recognition apparatus according to claim 1, further comprising an acquiring device for acquiring, in advance, a keyword feature data which represents feature value of the speech ingredient of said keyword, and

wherein the recognition device comprises:

a calculation device for calculating likelihood which indicates probability that at least part of the feature values of the extracted spontaneous speech is matched with said extraneous-speech component feature data stored in said database and the acquired keyword feature data; and

a recognition device for identifying at least one of said keyword and said extraneous speech contained in the spontaneous speech based on the calculated likelihood.

8. A speech recognition method of recognizing at least one of keywords contained in uttered spontaneous speech, comprising:

an extraction process of extracting a spontaneous-speech feature value, which is feature value of speech ingredient of the spontaneous speech, by analyzing the spontaneous speech;

a recognition process of recognizing said keyword by identifying at least one of said keyword and extraneous speech contained in the spontaneous speech based on the spontaneous-speech feature value, said extraneous speech indicating non-keyword; and

an acquiring process of acquiring an extraneous-speech component feature data prestored in a database, said extraneous-speech component feature data indicating feature value of speech ingredient of extraneous-speech component which is component of the extraneous speech,

wherein the recognition process identifies the extraneous speech contained in the spontaneous speech based on the extracted spontaneous-speech feature value and the stored extraneous-speech component feature data.

9. The speech recognition method according to claim 8, wherein said acquiring process acquires said extraneous-speech component feature data prestored in said database, said extraneous-speech component feature data having data of characteristics of feature values of speech ingredient of a plurality of the extraneous-speech components.

10. The speech recognition method according to claim 9, wherein said acquiring process acquires,said extraneous-speech component feature data prestored in said database, said extraneous-speech component feature data representing one data of feature value of the speech ingredients which has been obtained by combining feature values of a plurality of the extraneous-speech components.

11. The speech recognition method according to claim 9, wherein said acquiring process acquires said extraneous-speech component feature data prestored in said database, said extraneous-speech component feature data having data of feature values of the speech ingredient of a plurality of the extraneous-speech components.

12. The speech recognition method according to claim 9, wherein said acquiring process acquires said extraneous-speech component feature data prestored in said database, said extraneous-speech component feature data represents data of feature values of speech ingredients generated for each type of speech sound which is a configuration component of speech.

13. The speech recognition method according to claim 8, wherein said acquiring process acquires said extraneous-speech component feature data prestored in said database, said extraneous-speech component feature data representing data of feature value of at least one of phoneme and syllable.

14. The speech recognition process according to claim 8, wherein;

said acquisition process acquires, in advance, a keyword feature data which represents feature value of the speech ingredient of said keyword, and

said recognition process comprises;

a calculation process of calculating likelihood which indicates probability that at least part of the feature values of the extracted spontaneous speech is matched with said extraneous-speech component feature data stored in said database and the acquired keyword feature data; and

a recognition process of identifying at least one of said keyword and said extraneous speech contained in the spontaneous speech based on the calculated likelihood.

15. A recording medium wherein a speech recognition program is recorded so as to be read by a computer, the computer included in a speech recognition apparatus for recognizing at least one of keywords contained in uttered spontaneous speech, the program causing the computer to function as:

an extraction device extracts a spontaneous-speech feature value, which is feature value of speech ingredient of the spontaneous speech, by analyzing the spontaneous speech;

a recognition device recognizes said keyword by identifying at least one of said keyword and extraneous speech contained in the spontaneous speech based on the spontaneous-speech feature value, said extraneous speech indicating non-keyword; and

an acquiring device acquires an extraneous-speech component feature data prestored in a database, said extraneous-speech component feature data indicating feature value of speech ingredient of extraneous-speech component which is component of the extraneous speech,

wherein the recognition device identifies the extraneous speech contained in the spontaneous speech based on the extracted spontaneous-speech feature value and the stored extraneous-speech component feature data.

16. The recording medium according to claim 15, wherein the program further causes the computer to function as said acquiring device acquires said extraneous-speech component feature data prestored in said database, said extraneous-speech component feature data having data of characteristics of feature values of speech ingredient of a plurality of the extraneous-speech components.

17. The recording medium according to claim 16, wherein the program further causes the computer to function as said acquiring device acquires said extraneous-speech component feature data prestored in said database, said extraneous-speech component feature data representing one data of feature value of the speech ingredients which has been obtained by combining feature values of a plurality of the extraneous-speech components.

18. The recording medium according to claim 16, wherein the program further causes the computer to function as said acquiring device acquires said extraneous-speech component feature data prestored in said database, said extraneous-speech component feature data having data of feature values of the speech ingredient of a plurality of the extraneous-speech components.

19. The recording medium according to claim 15, wherein the program further causes the computer to function as said acquiring device acquires said extraneous-speech component feature data prestored in said database, said extraneous-speech component feature data representing data of feature values of speech ingredients generated for each type of speech sound which is a configuration component of speech.

20. The recording medium according to claim 15, wherein the program further causes the computer to function as said acquiring device acquires said extraneous-speech component feature data prestored in said database, said extraneous-speech component feature data representing data of feature value of at least one of phoneme and syllable.

21. The recording medium according to claim 15, wherein the program further causes the computer to function as:

said acquiring device acquires, in advance, a keyword feature data which represents feature value of the speech ingredient of said keyword, and

said recognition process comprises;

a calculation device for calculating likelihood which indicates probability that at least part of the feature values of the extracted spontaneous speech is matched with said extraneous-speech component feature data stored in said database and the acquired keyword feature data; and

a recognition device for identifying at least one of said keyword and said extraneous speech contained in the spontaneous speech based on the calculated likelihood.