A vocabulary database construction method and the corresponding hunting and comparison method for voice identification system

A speech recognition and database technology, applied in the field of search and comparison, can solve the problems of increased calculation amount, large calculation amount, and inability to identify correctly, and achieve the effect of increasing the overall calculation amount and avoiding repeated calculation.

Inactive Publication Date: 2008-07-09
WUDI SCI & TECH (XIAN) CO LTD
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AI Technical Summary

Problems solved by technology

[0002] The conventional speech recognition system does not include the processing function of polyphonic characters, so that users must pronounce another pronunciation of the polyphonic character to be able to recognize successfully when performing voice input. For example, the word "Xing" in the name Chen Lixing must be pronounced "plant '" to be successfully recognized, such as the user pronounced " '" can not be recognized correctly. For example, the word "乐" in the orchestra must be pronounced as " `" can be recognized, if it is pronounced as "ㄩ `" cannot be recognized correctly, and this voice input method is very different from the pr...

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  • A vocabulary database construction method and the corresponding hunting and comparison method for voice identification system
  • A vocabulary database construction method and the corresponding hunting and comparison method for voice identification system
  • A vocabulary database construction method and the corresponding hunting and comparison method for voice identification system

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Embodiment Construction

[0022] The speech recognition system of the present invention mainly uses the method of Hidden Markov Model (Hidden MarkovModel, HMM) to carry out identification, and it describes the phenomenon of pronunciation with probability model, regards the pronunciation process of a small section of speech as a continuous process in a Markov model. state transition; the speech feature parameters used in the identification process are Mel-Frequency Cepstrum Coefficients (MFCC), which not only considers the human ear's sensitivity to different frequencies, but also has the ability to separate the articulation channel model and excitation The characteristics of the signal make it impossible for us to be affected by the volume of the speaker or the five tones of Chinese speech (one, two, three, four and soft) during speech recognition.

[0023] Based on the above characteristics, we will select polyphonic characters suitable for the recognition system of the present invention from 245 Chine...

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Abstract

The invention relates to a method of building a character stock in a speech recognition system and a searching and comparing method thereof to solve the problem of calculating the same character repeatedly and reducing the whole operand. The method comprises the following steps of: 1) providing the data of polyphonic characters; 2) typing in the data; 3) building an acoustic model; 4) storing the data and the corresponding acoustic model thereof into the character stock. The character stock in the invention has the function of polyphonic characters recognition, so that the speech recognition system is closer to the pronunciation habit of the average users with human elements, therefore, enabling the users to follow the conventional pronunciation and to receive the correct recognition result.

Description

technical field [0001] The present invention relates to a vocabulary database construction method and its search comparison method for a speech recognition system, in particular to a vocabulary database construction method that can support polyphonic word processing and a more efficient search comparison method. Background technique [0002] The conventional speech recognition system does not include the processing function of polyphonic characters, so that users must pronounce another pronunciation of the polyphonic character to be able to recognize successfully when performing voice input. For example, the word "Xing" in the name Chen Lixing Must be pronounced as "plant '" to be successfully recognized, such as the user pronounced " '" can not be recognized correctly. For example, the word "乐" in the orchestra must be pronounced as " `" can be recognized, if it is pronounced as "ㄩ `" cannot be recognized correctly, and this voice input method is very different f...

Claims

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Application Information

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IPC IPC(8): G10L15/14G10L15/06G06F17/30G10L15/08
Inventor 廖崇伯陈淮琰
Owner WUDI SCI & TECH (XIAN) CO LTD
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