White Papers
Initial Experiments With Estonian Speech Recognition
Category: Software and Web Development
Tags: speech recognition, data
Overview This paper presents a short description of work recently done at University of Tartu to construct a word - based speech recognition system. Simple bigram and trigram language models with cross - word triphone acoustic models are used by a one - pass best hypothesis recognizer to perform decoding of test data. The lowest word error rate of 37.5% reported in this paper is a common figure for word - based speech recognition of languages like Estonian.
- Publisher
- University of Tartu
- File Format
- Date Published
- Dec 13, 2008
- Format
- White Papers
- Topics
- Voice Recognition
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