I have used aeneas myself to do it, with mixed results. You will probably need to increase the DTW margin. Also note that you will need a lot of RAM --- say 16 GB if you plan to work on a single audio file with duration 10-15 hours, which is typical for an audiobook.

In theory one can perform the DTW out-of-core, saving the accumulated cost matrix and path to disk, but I have had not time to implement this yet (i.e., the accumulated, reduced DTW cost matrix should fit into RAM). I tested it can be done with PyTables, but it will probably come with the next major version of aeneas (v2).

BTW, if your goal is to split, say, chapters of an audiobook, probably there are more efficient ways of doing this. For example, finding the long silence intervals between chapters might be enough. Or, instead of aligning all the text against all the audio, just perform a "partial matching" of the first sentences of each chapter against the audio.