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TRAINING AND ADAPTING MLP FEATURES FOR ARABIC SPEECH RECOGNITION
mi.eng.cam.ac.uk/research/projects/AGILE/publications/park_icassp09.pdf7 Oct 2009: All thesetest sets consist of both Broadcast News and Broadcast Conversationstyles of data. ... The lowest error rate was obtained bycombining all four systems together using CNC. -
paper_pcw_v1.dvi
mi.eng.cam.ac.uk/research/projects/AGILE/publications/park_interspeech09.pdf7 Oct 2009: All of subset MLPs are trained by wLP-TRAP. input feature used in [3][6]. ... All testsets consist of Broad-cast News/Conversation style data. The LM was trained usingapproximately 1G words.
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