LARGE VOCABULARY QUICK LEARNING SPEECH RECOGNITION SYSTEM

• US 20090240499A1
• Filed: 03/19/2008
• Published: 09/24/2009
• Est. Priority Date: 03/19/2008
• Status: Abandoned Application

• Current Assignee: Ben-Zion Elishakov, Eitan Broukman, Yoel Shor, Zohar Dvir
• Original Assignee: Ben-Zion Elishakov, Eitan Broukman, Yoel Shor, Zohar Dvir
• Inventors: Shor, Yoel, Dvir, Zohar, Broukman, Eitan, Elishakov, Ben-Zion
• Application Number:
  US12/051,052
• Publication Number:
  US 20090240499A1
• Time in Patent Office: Days
• US Class Current: 704/246
• CPC Class Codes: G10L 15/063 Training
• CPC Class Codes: G10L 15/183 using context dependencies, e.g. language models

Abstract

A speech recognition system comprising: an analog to digital converter, a time to frequency transformer, a noise filter; a context preprocessor, an acoustic word classifier, an initial acoustic model generator, a textual search module, and a trainer. The system recognizes speech initially prior to training, due to the context preprocessor classifying words of identical sound by the context of a leading and trailing neighboring group of words and by the acoustic model generator creating an initial acoustic model derived from an acoustic word statistical analysis ‘average’. Applications of the system include voice activated computer games, command and control systems and text dictation.

Claims

1. A speech recognition system capable of recognizing speech independent of a speaker prior to training, said system comprising:

a context preprocessor;

operatively associated with

an acoustic word classifier;

operatively associated with

an acoustic model generator;

wherein said context preprocessor operating in conjunction with said acoustic word classifier are configured to classify different words of identical sound by analyzing said words in the context of several leading and trailing neighboring words;

and wherein said acoustic model generator is configured to create an initial acoustic model derived from a statistical analysis of said acoustic word.

2. The speech recognition system according to claim 1, further comprising a trainer.

3. The speech recognition system according to claim 1, further comprising an analog to digital converter;

a time to frequency transformation module and a noise filter.

4. The speech recognition system according to claim 1, wherein said context preprocessor further comprises a buffer for storing an acoustic word with a first group of consecutive leading acoustic words, and a second group of consecutive trailing acoustic words.

5. The speech recognition system according to claim 1, further comprising a language model and a dictionary database.

6. The speech recognition system according to claim 2, wherein said trainer utilizes user feedback for adapting said acoustic model to user speaker dependent features and system vocabulary.

7. The speech recognition system according to claim 1, wherein said system'"'"'s component are distributed over a plurality of computers communicating between themselves.

8. The speech recognition system according to claim 3, wherein said noise filter maximizes signal to noise ratio of said acoustic words.

9. A voice activated computer game application comprising:

a voice recognition module implemented as a machine readable code comprising;

a context preprocessor;

operatively associated with an acoustic word classifier;

operatively associated with an acoustic model generator;

wherein said context preprocessor operating in conjunction with said acoustic word classifier are configured to classify different words of identical sound by analyzing said words in the context of several leading and trailing neighboring words;

an application-programming interface operable by said voice recognition system output;

wherein player-uttering instructional commands are usable for operating said computer game prior to player speech dependent training and adaptable to said player dependent speech features in a substantial fast training process.

10. The computer game application according to claim 9, wherein said voice recognition module is embedded into the player'"'"'s computer.

11. The computer game application according to claim 9, wherein said voice recognition module is embedded into a computer game console.

12. The computer game application according to claim 9, wherein said computer game user interface combines voice activation with presently used input devices.

13. A computer implemented method capable of recognizing speech independent of a speaker prior to training, said method comprising:

contextual preprocessing of incoming acoustic words;

classifying said acoustic words in the context of a plurality of leading and trailing neighboring words;

creating an initial acoustic model derived from a statistical analysis of said acoustic words.

14. The speech recognition method according to claim 13, further comprising training exhibiting user feedback to said system for adapting said acoustic model to said user speaker speech characteristics and to usable vocabulary.

15. The speech recognition method according to claim 13, further comprising exporting and importing external user profile on other computer for such that the other computer is enabled to recognize the user immediately with no training.