The RWTH/UPB/FORTH System Combination for the 4th CHiME Challenge Evaluation
T. Menne, J. Heymann, A. Alexandridis, K. Irie, A. Zeyer, M. Kitza, P. Golik, I. Kulikov, L. Drude, R. Schlüter, H. Ney, R. Haeb-Umbach, A. Mouchtaris, in: Computer Speech and Language, 2016.
Conference Paper
| English
Author
Menne, Tobias;
Heymann, JahnLibreCat;
Alexandridis, Anastasios;
Irie, Kazuki;
Zeyer, Albert;
Kitza, Markus;
Golik, Pavel;
Kulikov, Ilia;
Drude, LukasLibreCat;
Schlüter, Ralf;
Ney, Hermann;
Haeb-Umbach, ReinholdLibreCat
All
All
Abstract
This paper describes automatic speech recognition (ASR) systems developed jointly by RWTH, UPB and FORTH for the 1ch, 2ch and 6ch track of the 4th CHiME Challenge. In the 2ch and 6ch tracks the final system output is obtained by a Confusion Network Combination (CNC) of multiple systems. The Acoustic Model (AM) is a deep neural network based on Bidirectional Long Short-Term Memory (BLSTM) units. The systems differ by front ends and training sets used for the acoustic training. The model for the 1ch track is trained without any preprocessing. For each front end we trained and evaluated individual acoustic models. We compare the ASR performance of different beamforming approaches: a conventional superdirective beamformer [1] and an MVDR beamformer as in [2], where the steering vector is estimated based on [3]. Furthermore we evaluated a BLSTM supported Generalized Eigenvalue beamformer using NN-GEV [4]. The back end is implemented using RWTH?s open-source toolkits RASR [5], RETURNN [6] and rwthlm [7]. We rescore lattices with a Long Short-Term Memory (LSTM) based language model. The overall best results are obtained by a system combination that includes the lattices from the system of UPB?s submission [8]. Our final submission scored second in each of the three tracks of the 4th CHiME Challenge.
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Proceedings Title
Computer Speech and Language
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Cite this
Menne T, Heymann J, Alexandridis A, et al. The RWTH/UPB/FORTH System Combination for the 4th CHiME Challenge Evaluation. In: Computer Speech and Language. ; 2016.
Menne, T., Heymann, J., Alexandridis, A., Irie, K., Zeyer, A., Kitza, M., … Mouchtaris, A. (2016). The RWTH/UPB/FORTH System Combination for the 4th CHiME Challenge Evaluation. In Computer Speech and Language.
@inproceedings{Menne_Heymann_Alexandridis_Irie_Zeyer_Kitza_Golik_Kulikov_Drude_Schlüter_et al._2016, title={The RWTH/UPB/FORTH System Combination for the 4th CHiME Challenge Evaluation}, booktitle={Computer Speech and Language}, author={Menne, Tobias and Heymann, Jahn and Alexandridis, Anastasios and Irie, Kazuki and Zeyer, Albert and Kitza, Markus and Golik, Pavel and Kulikov, Ilia and Drude, Lukas and Schlüter, Ralf and et al.}, year={2016} }
Menne, Tobias, Jahn Heymann, Anastasios Alexandridis, Kazuki Irie, Albert Zeyer, Markus Kitza, Pavel Golik, et al. “The RWTH/UPB/FORTH System Combination for the 4th CHiME Challenge Evaluation.” In Computer Speech and Language, 2016.
T. Menne et al., “The RWTH/UPB/FORTH System Combination for the 4th CHiME Challenge Evaluation,” in Computer Speech and Language, 2016.
Menne, Tobias, et al. “The RWTH/UPB/FORTH System Combination for the 4th CHiME Challenge Evaluation.” Computer Speech and Language, 2016.
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