Title: Comparison of Standard and Hybrid Modeling Techniques for Distributed Speech Recognition

Authors: Jan Stadermann, Gerhard Rigoll

Abstract: Distributed speech recognition (DSR) is an interesting technology for mobile recognition tasks where the recognizer is split up into two parts and connected with a transmission channel. We compare the performance of standard and hybrid modeling approaches in this environment. The evaluation is done on clean and noisy speech samples taken from the TI digits and the AURORA database. Our results show that that the hybrid modeling techniques can outperform standard continuous systems on this task.

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