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This paper presents first steps toward a large vocabulary continuous speech recognition system (LVCSR) for conversational Mandarin-English code-switching (CS) speech. We applied state-of-the-art techniques such as speaker adaptive and discriminative training to build the first baseline system on the SEAME corpus  (South East Asia Mandarin-English). For acoustic modeling, we applied different phone merging approaches based on the International Phonetic Alphabet (IPA) and Bhattacharyyadoi:10.1109/icassp.2012.6289015 dblp:conf/icassp/VuLWTSBCSL12 fatcat:ht2gbea74rbqrhfaie6kpocxzi