Research On Keyword Spotting Technology Of Chinese Speech Recognition System

Speech recognition is one of the key technologies to realize communications between equipment and human. In this field, Speech recognition technology has high value. With the progress of keyword spotting, speech synthesis and voiceprint recognition, and the increasing of demands, voice recognition products are walking into our work, lives and other fields.This research focuses on keyword spotting of Chinese speech recognition system. The keyword spotting technology has been verified and tested by two different practical applications. The main work and achievements are as follows:1. In this paper we considered the keyword spotting technology which is based on garbage model by intelligent customer service phone system. We achieved the improvement of endpoint detection technique, the selection of garbage language material, and confirming the network ratio of keyword model and garbage model. Based on the above work, we have realized the keyword spotting engine. In addition, by telephone customer service of a nation PC manufacturer, the keyword spotting technology has been verified. This system can detect some keywords associated with PC failure, such as "hard disk problem","start-up problem" and "system breakdown". Keywords detection rate also can be improved significantly through dialogue guide, increasing keyword length or merging keywords.2. Facing the demand for spoken document retrieval, we focused on the keyword spotting technology which is based on syllable network. The results of keyword spotting have been improved by training acoustic models of specific areas and introducing the linguistic knowledge to keyword spotting system. By testing the "Insurance" and "tourism" customer service record, we can draw the conclusion that keyword spotting system can achieve the function of speech document retrieval.