SignificanceSpeech research is largely bound to the study of humans and, thus, suffers from methodological limitations. Therefore, key mechanisms of speech production remain unclear. One central question is whether neural representations of speech content and motor production can be dissociated. We addressed this with an innovative paradigm where we combined magnetoencephalography, advanced multivariate pattern analysis, and a rule-based vocalization task. We could dissociate neural representations of content and production and further describe their temporal and spatial dynamics. Our results suggest that content has an abstract representation that allows to generalize across different production forms. With this study, we answer some essential questions of speech research and provide a fruitful framework for further noninvasive research.