Performance of acoustic models for speech recognition is very sensitive to the domain of speech, the acoustic environment, the speaker properties, and many further factors. Hence expensive data collection for each specification is necessary at this point. The aim of this project is to develop acoustic model structures that allow adjustment according to such influence factors, and thus make effective use of existing data.