Rapid decoding method for voice identifying system

Abstract

(1) Initializing the decoding arithmetic elements. (2) The feature code word vectors of next voice frame are taken out from the voice feature code word sequence with length T in the input decoding arithmetic element. The current voice frame is Ot, 1<=t<=T. (3) Filtering the current voice frame Ot. (4) Based on Ot, each active node of the token resource L t[I] in each layer I of token resource L t of lexicographic tree at t time is judged. (5) Processing the token between nods of lexicographic tree. (6) Based on the maximum probability of partial directory path, the self-adapting adjustment is carried out for the threshold related to the lopping of branches. (7) Repeating steps (2)-(6). The generated best text string matched to the acoustic model and the language model is output. Thus, the result of the voice recognition is generated. Comparing with traditional methods, the strategy speeds up decoding operation.

Description

technical field [0001] The invention relates to a fast decoding method in a speech recognition system. Background technique [0002] The decoding operation is the main component of the speech recognition system. Its function is: under the given acoustic model and language model, for the input acoustic observation feature vector sequence, let the computer automatically find out in the search space constructed statically or dynamically. The text string that has the best match with the acoustic model and the language model to convert the user's speech input into the corresponding text. [0003] figure 1 Shown is a structural block diagram of a known speech recognition system, the analog speech is transformed into a computer-processable digital signal through the analog-to-digital conversion unit 11, and then the digital signal is processed by using the feature extraction unit 12 in frames, usually the frame length is 20ms, the frame shift is 10ms, extract the MFCC parameters ...

AI Technical Summary

Problems solved by technology

[0020] The purpose of the present invention is to provide a kind of fast decoding operation method in the continuous speech recognition system of improving current non-specific NPC vocabulary, and this method further solves current embedded speech recognition technology, the market acceptability of relative product price, to hardware calculation Capability and memory requirements are too high, so that the current speech recognition technology can also be applied to embedded hardware platforms, such as PDA, Mobil Phone, Smart Phone, etc.

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