Weight coefficient generation device, voice recognition device, navigation device, vehicle, weight coefficient generation method, and weight coefficient generation program

• US 8,688,449 B2
• Filed: 11/17/2009
• Issued: 04/01/2014
• Est. Priority Date: 11/25/2008
• Status: Active Grant

• Current Assignee: Asahi Kasei Kabushiki Kaisha
• Original Assignee: Asahi Kasei Kabushiki Kaisha
• Inventors: Miyazaki, Toshiyuki
• Primary Examiner(s): AZAD, ABUL K
• Application Number:
  US13/129,169
• Publication Number:
  US 20110231191A1
• Time in Patent Office: 1,596 Days
• Field of Search: 704231-257, 704/270
• US Class Current: 704/242
• CPC Class Codes: G01C 21/3608 using speech input, e.g. using speech recognition
• CPC Class Codes: G10L 2015/085 Methods for reducing search complexity, pruning

Abstract

A weight coefficient generation device, a speech recognition device, a navigation system, a vehicle, a vehicle coefficient generation method, and a weight coefficient generation program are provided for the purpose of improving a speech recognition performance of place names. In order to address the above purpose, an address database 12 has address information data items including country names, city names, street names, and house numbers, and manages the address information having a tree structure indicating hierarchical relationships between the place names from wide area to a narrow area. Each of the place names stored in the address database 12 is taken as a speech recognition candidate. A weight coefficient calculation unit 11 of a weight coefficient generation device 10 calculates a weight coefficient of the likelihood of the aforementioned recognition candidate based on the number of the street names belonging to the lower hierarchy below the city names.

Claims

1. A speech recognition device comprising:

a speech recognition dictionary in which a place name for use in an address having a hierarchical structure from a wide area to a narrow area is registered as a vocabulary to be recognized;

a recognition likelihood calculation unit for extracting features from a speech, and calculating likelihood of the speech to each of the vocabularies, to be recognized, registered in the speech recognition dictionary based upon the features;

an address database in which a tree structure indicating a hierarchical relationship of the place names of the vocabularies to be recognized;

a weight coefficient calculation unit for calculating a weight coefficient of likelihood of the vocabulary to be recognized based on a number of geographic names belonging to a hierarchy lower than the vocabulary to be recognized, as the number of geographic names becomes larger, the weight coefficient becomes larger; and

a recognition result output unit for outputting a speech recognition result based on weighted likelihood obtained by weighting the likelihood of the speech calculated by the recognition likelihood calculation unit with the weight coefficient of the likelihood of the vocabulary to be recognized calculated by the weight coefficient calculation unit.

2. The speech recognition device according to claim 1, wherein:

the address database stores city names and street names belonging to a lower hierarchy below the city names, and

the number of geographic names belonging to the hierarchy lower than the vocabulary to be recognized in the address database is a number of the street names belonging to the lower hierarchy below the city names.

3. The speech recognition device according to claim 1, wherein:

the address database stores city names and facility names belonging to a lower hierarchy below the city names, and

the number of geographic names belonging to the hierarchy lower than the vocabulary to be recognized in the address database is a number of the facility names belonging to the lower hierarchy below the city names.

4. The speech recognition device according to claim 1, wherein:

the address database stores city names and facility names belonging to a lower hierarchy below the city names, and

the number of geographic names belonging to the hierarchy lower than the vocabulary to be recognized in the address database is a number of telephone numbers of the facility names belonging to the lower hierarchy below the city names.