Avamarie Brueggeman(The University of Texas at Dallas) and John H.L. Hansen(Univ. of Texas at Dallas; CRSS - Center for Robust Speech Systems)
Abstract:
Although speech recognition technology for cochlear implants
has continued to improve, music accessibility remains a challenge.
Previous studies have shown that cochlear implant users
may prefer listening to music that has been reengineered to be
less complex. In this paper, we consider the combined
effect of spectral complexity reduction and number of instruments
playing on musical enjoyment with cochlear implants.
Nine normal hearing listeners rated 200 10-second music samples
on three enjoyment modalities (musicality, pleasantness,
and naturalness) with and without the use of cochlear implant
simulation. The music samples included 20 versions of the song
”Twinkle Twinkle Little Star” synthesized using one of five different
instruments and with one to four instruments playing at
once. The remaining 180 versions were created by reducing
each sample’s spectral complexity to nine different levels using
principal component analysis. The results showed a preference
for less amounts of spectral complexity reduction for samples
without cochlear implant simulation (P<.001), as well as
a preference for fewer instruments for samples with cochlear
implant simulation (P<.001). However, spectral complexity reduction
was not a significant factor for samples with cochlear
implant simulation, and a significant interaction effect between
spectral complexity reduction and number of instruments was
not found.