RASR - The RWTH Aachen University Open Source Speech Recognition Toolkit
David Rybach, Stefan Hahn, Patrick Lehnen, David Nolden, Martin Sundermeyer, Zoltán Tüske, Simon Wiesler, Ralf Schlüter, Hermann Ney · RWTH Publications (RWTH Aachen) · 2011
www.hltpr.rwth-aachen.de/rasr Abstract—RASR is the open source version of the well-proven speech recognition toolkit developed and used at RWTH Aachen University. The current version of the package includes state of the art speech recognition technology for acoustic model training and decoding. Speaker adaptation, speaker adaptive training, unsupervised training, discriminative training, lattice processing tools, flexible signal analysis, a finite state automata library, and an efficient dynamic network decoder are notable components. Comprehensive documentation, example setups for training and recognition, and tutorials are provided to support newcomers. I.