Problem with Clarinets

The rendition of the first movement of Mahler's Symphony No. 1 is almost completed: missing are only the flutes, oboe, and clarinet voices from bar 263 till the end. But now I hit a slight obstacle: the Es-Clarinet requires a high A and high B to be played - however, the Garritan Personal Orchestra (GPO4) samples only go up to the high G... I have hit these limitations of the GPO4 already in other instruments earlier, when I recorded other movements, for example when some very low notes of brass instruments were not there. Mahler just uses the full range of the instruments. For some reason, GPO4 did not record those extreme notes... it would be nice if in such a case the missing notes would just be automatically extended, based on the last available sample. It would not matter if this would not sound perfect - since it is an extreme note, it is anyway not supposed to sound perfect, even with a real instrument - these extreme notes are often only used to create an effect.

I had solved this problem in other renditions by using a standard software synthesizer in SONAR: Cakewalk TTS-1. However, as soon as I loaded that synth and played the first note on it, SONAR froze, the audio engine crashed, and I had to reboot the system. This happened several times... I suspect this has to do with the fact that I have loaded many (more than 30) GPO4 samples into memory, using 4 different ARIA VST instances. Should theoretically not matter, as the 12 GB memory of MAESTRO-2 are not fully used yet, but it appears that the memory management has some difficulties handling both the GPO4 and the TTS1 simultaneously.

So it looks as if I will for now not be able to play those high notes in the Es clarinet... fortunately this is in places towards the end where the music is very loud, most instruments of the orchestra are playing ff, and that single clarinet would not have been audible anyway, would only have contributed to the overall sound colour. But still, is a pity! I will have to find a solution for this eventually.