A Comparative Study of Feature-Domain Error Concealment Techniques for Distributed Speech Recognition
نویسندگان
چکیده
This paper presents a comparative study of different error concealment (EC) techniques in the context of distributed speech recognition (DSR) that exploits repetition, interpolation or subvector concealment to counteract transmission errors. A number of experiments are conducted and the results demonstrate that repetition is as good as, or even better than, linear interpolation whereas the subvector concealment shows the best performance in terms of recognition accuracy. Further experiments and analyses are conducted with the purpose of uncovering the reasons for the different characteristics of the EC techniques: speech features are inspected, time normalised distances as well as hidden Markov model (HMM) state durations are compared for different EC techniques.
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