Computes and displays a chord diagram of a set of audio files or of a set segments extracted from a single audio file.
scd(input, f, sl, wl = 512, wn = "hanning", ovlp = 0, flim = NULL,
rmoffset = TRUE, threshold = NULL, HCA = TRUE,
grid.col = terrain.colors, names, plot = TRUE, verbose = TRUE, ...)The function returns a list of two items:
spectral similarity matrix
the classification result of the HCA, if HCA is TRUE
The soundscape chord diagram (SCD) aims at representing similarities
between audio files or audio segments extracted from a single audio file. The
mean frequency spectrum of each file/segment is computed using a
STFT. These frequency spectra are then (1) pairwised compared using a
similarity distance (see function diffcumspec, and (2)
automatically clustered with a hierarchical cluster analysis (HCA) (see function
HCPC of FactoMiner). The
resulting similarity matrix is then given as an input to the function
chordDiagram. The width of the sectors and the links are
based on the spectral similarity matrix. The color of the sectors and the links
follow the HCA classification.
de Baudouin, A, Couprie P, Michaud F, Haupert S, Sueur J -- Similarity visualization of nature and music soundscapes, in prep.
diffcumspec