This may be evidence that the two communities have already independently identified appropriate dimensionality reduction techniques for their respective data sources.
our results support that the speech community can benefit from broader use of sparsity-inducing graphical models such as SAGE in tasks like spoken topic discovery and recommendation, in which humaninterpretable representations are desired.