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The MERL/SRI system for the 3RD CHiME challenge using beamforming, robust feature extraction, and advanced speech recognition
2015
2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)
This paper introduces the MERL/SRI system designed for the 3rd CHiME speech separation and recognition challenge (CHiME-3). Our proposed system takes advantage of recurrent neural networks (RNNs) throughout the model from the front speech enhancement to the language modeling. Two different types of beamforming are used to combine multimicrophone signals to obtain a single higher quality signal. Beamformed signal is further processed by a single-channel bi-directional long short-term memory
doi:10.1109/asru.2015.7404833
dblp:conf/asru/HoriCEHRMW15
fatcat:6rj23xsevrbbzlzjbvowd7wflq