The MLLP system for the 4th CHiME Challenge
M. A. del-Agua, Adria A. Martinez-Villaronga, Adrián Giménez Pastor, José Alberto Sanchis Navarro, Jorge Civera Saiz, Alfons Juan · RiuNet (Universitat Politècnica de València) · 2016
[EN] The MLLP CHiME-4 system is presented in this paper. It has been built using the transLectures-UPV toolkit (TLK) developed by the MLLP research group which makes use of stateof-the-art automatic speech recognition techniques. Our best system built for the CHiME-4 challenge consists on the combination of two different sub-systems in order to deal with the variety of acoustic conditions. Each sub-system in turn, follows a hybrid approach with different acoustic models, such as Deep Neural Networks or BLSTM Networks.