  We generalized a voice morphing algorithm capable of handling temporally
variable, multiple-attributes, and multiple instances. The generalized morphing
provides a new strategy for investigating speech diversity. However, excessive
complexity and the difficulty of preparation have prevented researchers and
students from enjoying its benefits. To address this issue, we introduced a set
of interactive tools to make preparation and tests less cumbersome. These tools
are integrated into our previously reported interactive tools as extensions.
The introduction of the extended tools in lessons in graduate education was
successful. Finally, we outline further extensions to explore excessively
complex morphing parameter settings.
