CLIENT-SERVER BASED DISTRIBUTED SPEECH RECOGNITION SYSTEM ARCHITECTURE

摘要

In general, the new client-server based Distributed Speech Recognition (DSR) system provides an effective method of recognizing speech made by a human at a client device and transmitted to a remote server over a network. The system distributes the speech recognition process between the client and the server so that a speaker-dependent language model may be utilized yielding higher accuracy as compared to the tradition DSR systems. Accordingly, the client device is configured to generate a phonetic word graph by performing acoustic recognition using an acoustic model that is trained by the same end-user whose speech is to be recognized. The resulting phonetic word graph is transmitted to the server which will handle the language processing and generate a recognized word sequence. When compared to a design that uses the traditional DSR, the new DSR method and system produces a word error rate that is at least 2-3 times lower, resulting in a higher accuracy recognition system.