Speech recognition device, model training method and traffic information service platform

Abstract

The invention discloses a voice identifying device, comprising a data collecting-managing module, a voice identifying module and a model training module. The data collecting-managing module and the model training module are respectively connected with the voice identifying module. The model training module is used for generating HMM models which are provided for being identified by the identifying device, and comprises a training configuration information unit, a voice coding-converting unit, a training-process control unit and a training intensity control unit. The data collecting-managing module comprises a recording unit and a data storing-arranging unit. The voice identifying module comprises a data pre-processing unit, a voice replaying unit and an identifying unit. As the invention provides not only the voice identifying module, but also the matched data collecting-managing module and the model training module, the corresponding identifying devices can be conveniently configured according to the traffic road name conditions of different cities to realize the effect of trafficability. With enough training data, the identifying correctness of HMM models obtained by using the training process of the invention can also be guaranteed.

Description

technical field [0001] The invention belongs to the technical field of speech signal processing, and relates to an intelligent traffic information service application system, in particular to a speech recognition device. In addition, the present invention also relates to a model training method for the above-mentioned speech recognition device. A traffic intelligence information service platform for identification devices. Background technique [0002] In the application field of intelligent traffic information service, information service handheld terminals such as mobile phones and PDAs are limited by the environment and the quality of users, which makes human-computer information interaction inconvenient. Therefore, completing the information input from the client to the server through voice recognition has become One of the important functions of traffic information service application. [0003] Current applications of speech recognition focus on the recognition of larg...

AI Technical Summary

Problems solved by technology

Generally speaking, more reliable sound recognition systems can only be applied in the range of small vocabulary (<1000). Once the number of vocabulary items increases, the correct rate and correct speed of speech recognition will drop significantly.

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