Command word recognition self-adaptive optimization method for carrying out feedback on user speech recognition result

Abstract

The invention discloses a command word recognition self-adaptive optimization method for carrying out feedback on a user speed recognition result. The method comprises the steps that all supported command words are divided into two groups, and the support command words include user frequently-used command words and user infrequently-used command words; a frequently-used command word network and an infrequently-used command word network are respectively established for the two groups of command words; an input speech signal is inputted to the frequently-used command word network to be recognized, meanwhile speech feature data extracted in the recognition process are stored in a cache; if a recognition result reaches a preset confidence coefficient threshold, the recognition result is directly outputted, the weight of the corresponding command word is adjusted according to the feedback recognition result; if not, the data are directly fetched and inputted to the infrequently-used command word recognition network to be recognized; if the data are inputted to the infrequency-used command word recognition network to be recognized, and a recognition result reaches a preset confidence coefficient threshold, the recognition result is fed back to adjust the weight of the corresponding command word; if not, the recognition is refused. According to the command word recognition self-adaptive optimization method for carrying out feedback on the user speed recognition result, command word recognition networks can be automatically optimized according to use habits of different users, and the recognition effect and the recognition refusal effect are improved.

Description

technical field [0001] The invention relates to a speech recognition method, in particular to a command word recognition self-adaptive optimization method for user speech recognition result feedback. Background technique [0002] The command word speech recognition system mainly completes the function of automatic speech recognition of the pre-defined command word set. When using the system, the user needs to first send the defined set of command words into the recognition system, and then the recognition system will convert each command word in the set of command words into a corresponding acoustic phoneme sequence, and then combine these phoneme sequences into A graph network, which we call a recognition network. [0003] With the built command word recognition network, the user only needs to say the voice command in the command word set when using the recognition system, and send it to the recognition system, and the recognition system will recognize the matching words i...

AI Technical Summary

Problems solved by technology

In this way, the identification network is fixed, and a more accurate network cannot be given according to the usage habits of different users.

Especially when the number of command words is too large, the recognition effect and rejection effect will be significantly reduced

Images