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@conference{Geiger_CHiME_2013, author = "J{\"u}rgen Geiger and Felix Weninger and Antti Hurmalainen and Jort Gemmeke and Martin W{\"o}llmer and Bj{\"o}rn Schuller and Gerhard Rigoll and Tuomas Virtanen", abstract = "We present our joint contribution to the 2nd CHiME Speech Separation and Recognition Challenge. Our system combines speech enhancement by supervised sparse non-negative matrix factorisation (NMF) with a multi-stream speech recognition system. In addition to a conventional MFCC HMM recogniser, predictions by a bidirectional Long Short-Term Memory recurrent neural network (BLSTM-RNN) and from non-negative sparse classification (NSC) are integrated into a triple-stream recogniser. Experiments are carried out on the small vocabulary and the medium vocabulary recognition tasks of the Challenge. Consistent improvements over the Challenge baselines demonstrate the efficacy of the proposed system, resulting in an average word accuracy of 92.8% in the small vocabulary task and an average word error rate of 41.42% in the medium vocabulary task.", awards = "Best paper award (the 2nd CHiME workshop, 2013)", booktitle = "proceedings of the 2nd CHiME workshop", journal = "Proceedings of the 2nd CHiME workshop", keywords = "Long Short-Term Memory;recurrent neural networks;non-negative matrix factorisation;dynamic Bayesian networks", month = "June", pages = "25-30", title = "{T}he {TUM}+{TUT}+{KUL} {A}pproach to the {CH}i{ME} {C}hallenge 2013: {M}ulti-{S}tream {ASR} {E}xploiting {BLSTM} {N}etworks and {S}parse {NMF}", url = "https://spandh.dcs.shef.ac.uk/chime_workshop/papers/pP1_geiger.pdf", year = "2013", }