Your question is more about method than software, so you will probably be better off looking for guidance on SEMNET, a more general SEM forum:
You could certainly use MLSEM, treating subjects as the clustering variable. If everyone listed to the same 10 sound files, and you had hypotheses about differences among the sound-file conditions, then you might be motivated to treat the repeated measures as multivariate data (wide format, like longitudinal CFA), but then you would have 10 copies of each variable in your current syntax, with only N=100 observations. If you do not have particular hypotheses about the differences among sound-file conditions, but subjects nonetheless listened to the same sound files, then what you have is a cross-classified design: observations are nested within both subjects and sound files, each of which has its own random effect(s). So lavaan cannot yet accommodate your study design. Mplus can handle cross-classified MLSEMs.
Terrence D. Jorgensen
Assistant Professor, Methods and Statistics
Research Institute for Child Development and Education, the University of Amsterdam