Within-Word vs. Across-Word Decoding for Online Speech Recognition
نویسندگان
چکیده
In this paper we describe methods for improving the RWTH German speech recognizer used within the VERBMOBIL project. In particular, we present acceleration methods for the search based on both within-word and across-word phoneme models. The recognizer in the VERBMOBIL project is used in an online environment. We will discuss some incremental methods to reduce the response time of an on-line speech recognizer. We present experimental off-line results for the VERBMOBIL task, a German spontaneous speech corpus, and report on word error rates and real time performance of the search for both within-word and across-word phoneme models.
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