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baggepinnen committed Jun 19, 2020
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2 changes: 1 addition & 1 deletion Project.toml
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name = "SpectralDistances"
uuid = "2b0dec9d-f767-4f95-9e73-7df56487de68"
authors = ["Fredrik Bagge Carlson <baggepinnen@gmail.com>"]
version = "0.1.5"
version = "0.1.6"

[deps]
BackwardsLinalg = "442b4e1a-8b9d-11e9-03b0-f14b31742153"
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2 changes: 1 addition & 1 deletion docs/src/taskview.md
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Expand Up @@ -142,7 +142,7 @@ The features derived here can of course be combined with any number of other fea
## Detection
Detection refers to finding a short query pattern `q` in a long recording `y`. This task can often be performance optimized for expensive-to-compute distances.

In it's most basic form, a dection score can be calculated by simply broadcasting a distance over `y`, see [Detection using examples](@ref).
In its most basic form, a dection score can be calculated by simply broadcasting a distance over `y`, see [Detection using examples](@ref).

For spectrogram distances, we have optimized methods for calculating distance profiles, see
[Computing a spectrogram distance profile](@ref). Also [`TimeDistance`](@ref) has an optimized method for [`distance_profile`](@ref).
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