- Yury Titov, Kevin Kilgour, Sebastian Stüker, A. Waibel. 2015. The 2011 KIT QUAERO Speech-to-Text System for Russian. Abstract: This paper describes our current speech-to-text system for Russian that we are developing within the Quaero program. The system uses two different front-ends for obtaining different acoustic models that are used for system combination and cross-adaptation within a multi-stage decoding set-up. The acoustic model have been trained on manually transcribed data as well as untranscribed data, the language model on large amounts of data obtained from different sources. An error analysis shows the influence of pecularities of the Russian language on the word error rate, such as its morphological structure and specific orthorgaphic properties. Our system achieves a word error rate of 19.3% on the official Quaero 2010 evaluation set.
