selfsim: Compute self-similarity
In tatters/soundgen_beta: Parametric Voice Synthesis
Description
Usage
Arguments
Details
Value
Description
Internal soundgen function.
Usage
1
Arguments
m
input matrix such as a spectrogram
norm
if TRUE, each FFT frame is normalized by max power
simil
method for comparing frames: "cosine" = cosine similarity, "cor"
= Pearson's correlation
win
the length of window for averaging self-similarity, frames
Details
Called by ssm.
Value
Returns a square self-similarity matrix.
tatters/soundgen_beta documentation built on May 14, 2019, 9 a.m.
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Description Usage Arguments Details Value
Description
Internal soundgen function.
Usage
1 |
Arguments
m |
input matrix such as a spectrogram |
norm |
if TRUE, each FFT frame is normalized by max power |
simil |
method for comparing frames: "cosine" = cosine similarity, "cor" = Pearson's correlation |
win |
the length of window for averaging self-similarity, frames |
Details
Called by ssm.
Value
Returns a square self-similarity matrix.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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