A Norwegian Letter-to-Sound Engine with Danish as a Catalyst
نویسنده
چکیده
Danish phonetics and Norwegian phonetics are not all that different. This fact is exploited in an ongoing project establishing a phonetic transcription algorithm for (East-) Norwegian. Using methods known from machine learning we exploit a publicly available phonetic database for Danish (based on the Danish PAROLE corpus) arriving at a cost-competitive phonetic database for Norwegian. While the ultimate goal of this enterprise is a low-budget complete phonetic transcription of the NoTa corpus of Norwegian spontaneous speech, this paper presents the subparts related to Danish phonetics.
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تاریخ انتشار 2007