1. A method for speaker independent and/or language independent speech recognition comprising the steps: operating a plurality of speech recognition engines in parallel, wherein: each speech recognition engine is configured with different acoustic models; and only one acoustic model for silence or noise is used in all speech recognition engines; for a speech input block comprising at least one speech input frame, determining the best scoring speech recognition hypothesis for each speech recognition engine and the best overall score; and pruning of speech recognition hypotheses of the plurality of speech recognition engines based on the best overall score.
1. A method for speaker independent and/or language independent speech recognition comprising the steps: operating a plurality of speech recognition engines in parallel, wherein: each speech recognition engine is configured with different acoustic models; and only one acoustic model for silence or noise is used in all speech recognition engines; for a speech input block comprising at least one speech input frame, determining the best scoring speech recognition hypothesis for each speech recognition engine and the best overall score; and pruning of speech recognition hypotheses of the plurality of speech recognition engines based on the best overall score. 3. Speech recognition method of claim 1 , comprising the step of: pruning one of the plurality of speech recognition engines if all speech recognition hypotheses of the speech recognition engines are pruned.