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Although the results from virtual simulation models cannot always completely extrapolate to the in vivo/patient situation, they can provide valuable insight into the benefit/risk analysis before removal of a separated instrument.
Figure 8 shows an example of separated instrument lines.
We have described how musical genres of retrieved pieces shift by changing the volume of separated instrument parts and explained a QBE retrieval approach on the basis of such genre classification shift.
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The number of deformed and separated instruments was recorded for the various experimental groups.
Many sources do, however, indicate that medieval musicians tended to separate instruments into two groups, loud and soft (haut and bas, or, very generally, wind and string), and to prefer contrasting sonorities within those groups for maximum differentiation of the individual parts.
This idea has been used for separating instruments in music [13, 14], and has been recently used for music classification [15].
As mentioned in Section 1, musical audio signals should be separated into instrument parts beforehand to boost and reduce the volume of those parts.
Since sub-daily physical oscillations in snow depth data are difficult to be separated from instrument noise, a joint processing modeling procedure has been designed.
That argument is often linked to the notion that for every macroeconomic target there must be a separate instrument with which to hit it.
The following recordings were used, each containing a separate instrument recording: (i) bass singer, .
DSC measurements of solutions and solids are quite different and typically use separate instrument designs.
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