SPEECH RECOGNITION APPARATUS AND METHOD

• US 20090240500A1
• Filed: 03/19/2009
• Published: 09/24/2009
• Est. Priority Date: 03/19/2008
• Status: Abandoned Application

• Current Assignee: Kabushiki Kaisha Toshiba (Toshiba Corporation)
• Original Assignee: Kabushiki Kaisha Toshiba (Toshiba Corporation)
• Inventors: TANAKA, Shinichi, TACHIMORI, Mitsuyoshi
• Application Number:
  US12/407,145
• Publication Number:
  US 20090240500A1
• Time in Patent Office: Days
• US Class Current: 704/257
• CPC Class Codes: G10L 15/183 using context dependencies, e.g. language models
• CPC Class Codes: G10L 2015/228 of application context

Abstract

A speech recognition apparatus includes a storage unit which store vocabularies, each of vocabularies including plural word body data, each of the word body data obtained by removing a specific word head from a word or sentence, and store at least one word head portion including labeled nodes to express at least one common word head common to at least two of the vocabularies, an instruction receiving unit which receive an instruction of a target vocabulary and an instruction of a operation, a grammar network generating unit which generate, when adding is instructed, a grammar network containing the word head portion, the target vocabulary and connection information indicating that each of the word body data contained in the target vocabulary is connected to a specific one of the labeled nodes contained in the word head portion, and a speech recognition unit which execute speech recognition using the generated grammar network.

Claims

1. A speech recognition apparatus using a grammar network which provides a set of recognition target words or sentences, comprising:

a storage unit configured to store a plurality of vocabularies, each of the vocabularies including a plurality of word body data, each of the word body data being obtained by removing a specific word head from an arbitrary word or sentence, and store at least one word head portion including a plurality of labeled nodes in order to express at least one common word head common to at least two of said plurality of vocabularies;

an instruction receiving unit configured to receive a first instruction for selecting a target vocabulary from said plurality of vocabularies and a second instruction for instructing the content of a operation to the target vocabulary;

a grammar network generating unit configured to generate, when a processing for adding the target vocabulary is instructed by the first instruction, a grammar network containing the word head portion, the target vocabulary selected by the second instruction and word head portion side connection information indicating that each of said plurality of the word body data contained in the target vocabulary is connected to a preliminarily matched one of said plurality of labeled nodes contained in the word head portion; and

a speech recognition unit configured to execute speech recognition using the generated grammar network.

2. The speech recognition apparatus according to claim 1, wherein when a processing for deleting the target vocabulary is instructed, the grammar network generating unit deletes the target vocabulary and the word head portion side connection information corresponding to the target vocabulary from the grammar network.

3. The speech recognition apparatus according to claim 2, wherein each of the word body data is constituted of a network containing a labeled node sequence, and

the speech recognition apparatus further comprises an updating unit configured to update the word head portion so as to reduce the number of the labeled nodes contained in two or more of the word body data and updates said two or more of the word body data so as to be fitted to the updated word head portion.

4. The speech recognition apparatus according to claim 3, wherein the word head portion is constituted of a network containing the labeled nodes with an initial condition node serving as a route node, and

with the initial condition of the word head portion containing only the initial condition nodes, the updating of the word head portion and the updating of the word body data are carried out.

5. The speech recognition apparatus according to claim 2, wherein the storage unit further stores a grammar frame which is a model of the grammar network, defining at least one of the portions in which the vocabulary is variable in the grammar network, and

the grammar network generating unit generates the grammar network with the grammar frame used as a model.

6. The speech recognition apparatus according to claim 5, wherein each of the word body data is constituted of a network containing a labeled node sequence, and

the speech recognition apparatus further comprises an updating unit configured to update the word head portion so as to reduce the number of the labeled nodes contained in two or more of the word body data and updates said two or more of the word body data so as to be fitted to the updated word head portion.

7. The speech recognition apparatus according to claim 6, wherein the word head portion is constituted of a network containing the labeled nodes with an initial condition node serving as a route node, and

with the initial condition of the word head portion containing only the initial condition nodes, the updating of the word head portion and the updating of the word body data are carried out.

8. The speech recognition apparatus according to claim 1, wherein each of the word body data is obtained by removing a specific word head and a specific word tail from an arbitrary word or sentence,

the storage unit further stores at least one word tail portion including a plurality of labeled nodes in order to express at least one common word tail common to at least two of said plurality of vocabularies, and

the grammar network generating unit generates, when a processing for adding the target vocabulary is instructed by the first instruction, a grammar network containing the word head portion, the word tail portion, the target vocabulary selected by the second instruction, word head portion side connection information indicating that each of said plurality of the word body data contained in the target vocabulary is connected to a preliminarily matched one of said plurality of labeled nodes contained in the word head portion and word tail portion side connection information indicating that each of said plurality of the word body data contained in the target vocabulary is connected to a preliminarily matched one of said plurality of labeled nodes contained in the word tail portion.

9. The speech recognition apparatus according to claim 7, wherein when a processing for deleting the target vocabulary is instructed, the grammar network generating unit deletes the target vocabulary and the word head portion side connection information and the word tail portion side connection information corresponding to the target vocabulary from the grammar network.

10. The speech recognition apparatus according to claim 9, wherein each of the word body data is constituted of a network containing a labeled node sequence, and

the speech recognition apparatus further comprises an updating unit configured to update the word head portion and the word tail portion so as to reduce the number of the labeled nodes contained in two or more of the word body data and updates said two or more of the word body data so as to be fitted to the updated word head portion and the word tail portion.

11. The speech recognition apparatus according to claim 10, wherein the word head portion is constituted of a network containing the labeled nodes with an initial condition node serving as a route node,

the word tail portion is constituted of a network containing the labeled nodes with a final condition node serving as a leaf node, and

with the initial conditions of the word head portion and the word tail portion containing only the initial condition nodes and the final condition nodes respectively, the updating of the word head portion and the word tail portion and the updating of the word body data are carried out.

12. The speech recognition apparatus according to claim 9, wherein the storage unit further stores a grammar frame which is a model of the grammar network, defining at least one of the portions in which the vocabulary is variable in the grammar network, and

the grammar network generating unit generates the grammar network with the grammar frame used as a model.

13. The speech recognition apparatus according to claim 12, wherein each of the word body data is constituted of a network containing a labeled node sequence, and

the speech recognition apparatus further comprises an updating unit configured to update the word head portion and the word tail portion so as to reduce the number of the labeled nodes contained in two or more of the word body data and updates said two or more of the word body data so as to be fitted to the updated word head portion and the word tail portion.

14. The speech recognition apparatus according to claim 13, wherein the word head portion is constituted of a network containing the labeled nodes with an initial condition node serving as a route node,

the word tail portion is constituted of a network containing the labeled nodes with a final condition node serving as a leaf node, and

with the initial conditions of the word head portion and the word tail portion containing only the initial condition nodes and the final condition nodes respectively, the updating of the word head portion and the word tail portion and the updating of the word body data are carried out.

15. The speech recognition apparatus according to claim 1, wherein when the processing for adding the target vocabulary is instructed by the first instruction, in the case where a grammar network to be generated initially, the grammar network generating unit generates the grammar network containing only the word head portion, and then adds the target vocabulary and the word head portion side connection information corresponding to the target vocabulary to the generated grammar network, and in the case where the grammar network already exists, the grammar network generating unit adds the target vocabulary and the word head portion side connection information corresponding to the target vocabulary to the existing grammar network

16. The speech recognition apparatus according to claim 8, wherein when the processing for adding the target vocabulary is instructed by the first instruction, in the case where a grammar network to be generated initially, the grammar network generating unit generates the grammar network containing only the word head portion and the word tail portion, and then adds the target vocabulary and the word head portion side connection information and the word tail portion side connection information corresponding to the target vocabulary to the generated grammar network, and in the case where the grammar network already exists, the grammar network generating unit adds the target vocabulary and the word head portion side connection information and the word tail portion side connection information corresponding to the target vocabulary to the existing grammar network

17. A grammar network generation method comprising:

storing a plurality of vocabularies, each of the vocabularies including a plurality of word body data, each of the word body data being obtained by removing a specific word head from an arbitrary word or sentence, and storing at least one word head portion including a plurality of labeled nodes in order to express at least one common word head common to at least two of said plurality of vocabularies;

receiving a first instruction for selecting a target vocabulary from said plurality of vocabularies and a second instruction for instructing the content of a operation to the target vocabulary;

generating, when a processing for adding the target vocabulary is instructed by the first instruction, a grammar network containing the word head portion, the target vocabulary selected by the second instruction and word head portion side connection information indicating that each of said plurality of the word body data contained in the target vocabulary is connected to a preliminarily matched one of said plurality of labeled nodes contained in the word head portion; and

executing speech recognition using the generated grammar network which provides a set of recognition target words or sentences.

18. A computer readable storage medium storing instructions of a computer program which when executed by a computer results in performance of steps comprising:

storing a plurality of vocabularies, each of the vocabularies including a plurality of word body data, each of the word body data being obtained by removing a specific word head from an arbitrary word or sentence, and storing at least one word head portion including a plurality of labeled nodes in order to express at least one common word head common to at least two of said plurality of vocabularies;

receiving a first instruction for selecting a target vocabulary from said plurality of vocabularies and a second instruction for instructing the content of a operation to the target vocabulary;

generating, when a processing for adding the target vocabulary is instructed by the first instruction, a grammar network containing the word head portion, the target vocabulary selected by the second instruction and word head portion side connection information indicating that each of said plurality of the word body data contained in the target vocabulary is connected to a preliminarily matched one of said plurality of labeled nodes contained in the word head portion; and

executing speech recognition using the generated grammar network which provides a set of recognition target words or sentences.