- Markus Müller, A. Waibel. 2015. Using language adaptive deep neural networks for improved multilingual speech recognition. Abstract: Building Large Vocabulary Continuous Speech Recognition (LVCSR) systems for under-resourced languages is a challenging task. While plenty of data is available for English, many other languages suffer from a lack of data. There are different methods for tackling this challenge. One possibility is to use data from different languages to boost the performance of a system for a particular target language. With the emerging of LVCSR systems using neural networks (NNs), many research groups have demonstrated the benefits from using additional data in order to improve the system performance. In this work, we propose a method for providing the language information directly to the network, thus enabling it to become language adaptive. We demonstrate the effectiveness of our approach in a series of experiments.
