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Performance of the IBM Large Vocabulary Continuous Speech Recognition System on the ARPA Wall Street Journal Task
Thomas J. Watson IBM Research Center
Lalit R. Bahl
出版
IBM Thomas J. Watson Research Division
, 1994
URL
http://books.google.com.hk/books?id=chTmGwAACAAJ&hl=&source=gbs_api
註釋
Abstract: "This paper presents the results obtained when evaluating the IBM Research large vocabulary continuous speech recognition system on the Phase I component of the ARPA Wall Street Journal task. All experiments are conducted using statistical trigram language models with an underlying vocabulary of 20,000 words. The recognition system is evaluated on both development and test sets from the Phase I data, in the case of non-verbalized punctuation. Speaker-dependent, longitudinal speaker-dependent, and speaker-independent results are reported."