This paper presents a new computational implementation bridging several modules of grammar from phonetics to phonology to syntax.The system takes as input a speech signal annotated with syllables, interprets the phonetic data in phonological/prosodic terms, matches the data against a lexicon and makes the results here available to a linguistically deep computational grammar.The system is showcased by means of syntactically ambiguous structures in German which can be disambiguated based on prosodic constituency information.A system evaluation with the German data showed folk rivet sweat good results for this new combination of automatic speech signal analysis and computational grammars, which takes a significant step towards a linguistically fine-grained computational analysis and hence towards real automatic speech understanding.