The RWTH 2009 quaero ASR evaluation system for English and German

In this work, the RWTH automatic speech recognition systems for English and German for the second Quaero evaluation campaign 2009 are presented. The systems are designed to transcribe web data, European parliament plenary sessions and broadcast news data. Another challenge in the 2009 evaluation is that almost no in-domain training data is provided and the test data contains a large variety of speech types. The RWTH participates for the English and German languages with the best results for German and competitive results for the English. Contributing to the enhancements are the systematic use of hierarchical neural network based posterior features, system combination, speaker adaptation, cross speaker adaptation, domain dependent modeling and the usage of additional training data.

• Type: Journal
• Year: 2010
• Where: INTERSPEECH
• Authors: Markus Nußbaum-Thom, Simon Wiesler, Martin Sundermeyer, Christian Plahl, Stefan Hahn, Ralf Schlüter, Hermann Ney
• Keywords: INTERSPEECH 2010, RWTH Automatic Speech, Signal Processing, Speaker Adaptation, Training Data