The MLLP system for the 4th CHiME Challenge
| Autor: | Del-Agua, Miguel Ángel, Martínez-Villaronga, Adrià, Giménez Pastor, Adrián, Sanchis Navarro, José Alberto, Civera Saiz, Jorge, Juan, Alfons |
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| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: | |
| Zdroj: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname |
| Popis: | [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. The work leading to this invention has received funding from the European Union Seventh Framework Programme (FP7/2007- 2013) under grant agreement no 287755 (transLectures). Also, it has received funding from the EU¿s ICT Policy Support Programme as part of the Competitiveness and Innovation Framework Programme under grant agreement no 621030 (EMMA). In addition, this work has been supported by the Spanish research project MORE TIN2015-68326-R (MINECO/FEDER) and the Spanish Government with the FPU scholarship FPU13/06241. |
| Databáze: | OpenAIRE |
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