selfsim: Compute self-similarity

In soundgen: Sound Synthesis and Acoustic Analysis

Compute self-similarity

Description

Internal soundgen function.

Usage

selfsim(
  m,
  norm = FALSE,
  simil = c("cosine", "cor")[1],
  win = 1,
  sparse = FALSE,
  kernelSize = NULL
)

Arguments

m	input matrix such as a spectrogram
norm	if TRUE, the spectrum of each STFT frame is normalized
simil	method for comparing frames: "cosine" = cosine similarity, "cor" = Pearson's correlation
win	the length of window for averaging self-similarity, frames
sparse	if TRUE, the entire SSM is not calculated, but only the central region needed to extract the novelty contour (speeds up the processing)

Details

Called by ssm.

Value

Returns a square self-similarity matrix.

Examples

m = matrix(rnorm(40), nrow = 5)
soundgen:::selfsim(m, sparse = TRUE, kernelSize = 2)

soundgen documentation built on Sept. 12, 2024, 6:29 a.m.