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In order to track a clave pattern from a sound mixture, we extend the bar pointer model by adding a new acoustic event variable.
In [8], Whiteley et al. presented a probabilistic "bar pointer model", which modeled one period of a hidden rhythmical pattern in music.
In the bar pointer model, we have the following property: m τ = m τ - 1 + f ( n τ - 1 ) mod M. (1).
Note that, in the original bar pointer model definition, there are also other variables such as the meter indicator and the rhythmic pattern indicator variables, which we do not use in our generative model.
This model is an extension that combines ideas from existing probabilistic models: the bar pointer model proposed by Whiteley et al. [8] for tempo and beat position tracking and an acoustic event detection and tracking model proposed by Şimşekli and Cemgil [7].
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Sure, there are some hurdles to clear (my toddler doesnt have to type much, for instance) but expect to see great strides away from the qwerty-keyboard-and-pointer model.
We first study the hardness of this problem and prove the following result: a succinct (or a compact) index cannot answer PRSS queries efficiently in the pointer machine model, and also not in the RAM model unless bounds on the well-researched orthogonal range query problem improve.
Finally, addChild primitive manipulates some pointers of the Model elements in order to associate the parent/child relation of these elements.
Learning items where a learner is required to grasp the relationship between the target domain world and memory model, such as "pointer operators and memory model," "calls by pointer," and "operations on generic pointers" .
Learning items where a learner is required to grasp the relationship between the target domain world and memory model, such as "pointer operators and memory model," "calls by pointer," and "operations on generic pointers".
Often, some of the input variables are categorical in nature (e.g., pointer variables to alternative models or different types of material, etc).
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