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The dynamically-adjustable histogram pruning method for embedded voice dialing., , , , , , и . SIP, стр. 45-50. IASTED/ACTA Press, (2005)Modeling high-level information by using Gaussian mixture correlation for GMM-UBM based speaker recognition., , , и . INTERSPEECH, стр. 2033-2036. ISCA, (2005)Rapidly developing spoken Chinese dialogue systems with the d-ear SDS SDK., , , и . INTERSPEECH, стр. 829-832. ISCA, (2005)Reducing pronunciation lexicon confusion and using more data without phonetic transcription for pronunciation modeling., , , и . INTERSPEECH, стр. 2461-2464. ISCA, (2002)A survey on energy-efficient data management., , , и . SIGMOD Record, 40 (2): 17-23 (2011)Combining Selection Tree with Observation Reordering Pruning for Efficient Speaker Identification Using GMM-UBM., , , и . ICASSP (1), стр. 625-628. IEEE, (2005)A tree-based kernel selection approach to efficient Gaussian mixture model-universal background model based speaker identification., , , , и . Speech Commun., 48 (10): 1273-1282 (2006)NOKIA Research Center Beijing Chinese Word Segmentation System for the SIGHAN Bakeoff 2007., , , , , и . IJCNLP, стр. 86-89. The Association for Computer Linguistics, (2008)Comparison of Different Implementations of MFCC., , и . J. Comput. Sci. Technol., 16 (6): 582-589 (2001)From keywords to social tags: Tagging for dialogues., , , , и . NLPKE, стр. 106-113. IEEE, (2011)