Speech recognizer

• US 20020116192A1
• Filed: 03/09/2001
• Published: 08/22/2002
• Est. Priority Date: 09/09/1998
• Status: Active Grant

• Current Assignee: Asahi Kasei Kabushiki Kaisha
• Original Assignee: Asahi Kasei Kabushiki Kaisha
• Inventors: Shozakai, Makoto
• Granted Patent: US 6,868,382 B2
• Time in Patent Office: Days
• US Class Current: 704/251
• CPC Class Codes: G10L 15/063 Training
• CPC Class Codes: G10L 15/144 Training of HMMs

Abstract

The generic word label series used for recognition of words uttered by unspecified speakers are stored in the vocabulary label network accumulation means f. The speech of a particular speaker is entered. Based on the input speech, the registered word label series extraction means d generates the registered word label series. The registered word label series of the particular speaker can then be registered with the vocabulary label network accumulation means f.

Claims

1. A speech recognizer for performing word recognition on input speech by using information on models of speech units each shorter than a word, the speech recognizer comprising:

vocabulary label network accumulation means for accumulating label series of said speech units for generic words commonly used to perform word recognition on input speech of unspecified speakers;

registered word label series extraction means for generating label series of said speech units for registered words from input speech of a particular speaker; and

registration means for registering to add to said vocabulary label network accumulation means the registered word label series thus generated;

wherein said speech units are acoustic events generated by dividing a Hidden Markov Model of phoneme into individual states.

2. The speech recognizer as claimed in claim 1, further comprising means for registering said generic words with said vocabulary label network accumulation means.

3. The speech recognizer as claimed in claim 1, wherein the label series of speech units for the generic words commonly used for word recognition of input speech of said unspecified speakers and the generated registered word label series are stored in the form of parallel networks in said vocabulary label network accumulation means.

4. The speech recognizer as claimed in claim 3, further comprising means for registering said generic words with said vocabulary label network accumulation means.

5. The speech recognition method for performing word recognition on input speech by using information on models of speech units each shorter than a word,

wherein label series of said speech units for generic words commonly used to perform word recognition on input speech of unspecified speakers are accumulated in vocabulary label network accumulation means;

said method comprising the steps of;

generating label series of said speech units for registered words from input speech of a particular speaker; and

registering to add to said vocabulary label network accumulation means the registered word label series thus generated;

wherein said speech units are acoustic events generated by dividing a Hidden Markov Model of phoneme into individual states.

6. The speech recognition method as claimed in claim 5, wherein said generic words can be registered with said vocabulary label network accumulation means.

7. The speech recognition method as claimed in claim 5, wherein the label series of speech units for the generic words commonly used for word recognition of input speech of said unspecified speakers and the generated registered word label series are stored in the form of parallel networks in said vocabulary label network accumulation means.

8. The speech recognition method as claimed in claim 7, wherein means is further provided for registering said generic words with said vocabulary label network accumulation means.