blob_detection: Blob detection of a region of interest into a spectrographic...

Description Usage Arguments Examples

View source: R/BatClassify.R

Description

This function is a modified version of the Bat classify software developed by Christopher Scott (2014). It combines several algorithms for detection, filtering and audio feature extraction.

Usage

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blob_detection(
  wave,
  channel = "left",
  time_exp = 1,
  min_dur = 1.5,
  max_dur = 80,
  min_area = 40,
  min_TBE = 20,
  max_TBE = 1000,
  EDG = 0.9,
  LPF,
  HPF = 16000,
  FFT_size = 256,
  FFT_overlap = 0.875,
  blur = 2,
  bg_substract = 20,
  contrast_boost = 20,
  settings = FALSE,
  acoustic_feat = TRUE,
  metadata = FALSE,
  spectro_dir = NULL,
  time_scale = 0.1,
  ticks = TRUE
)

Arguments

wave

either a path to a file, or a Wave object.

Audio files will be automatically decoded internally using the function read_audio.

channel

character. Channel to keep for analysis in a stereo recording: 'left' or 'right'. Do not need to be specified for mono recordings, recordings with more than two channels are not yet supported. Default setting is 'left'.

time_exp

integer. Time expansion factor of the recording. Set to 1 for real-time recording or above for time expanded recording. Default setting is 1.

min_dur

numeric. Minimum duration threshold in milliseconds (ms). Extracted audio events shorter than this threshold are ignored. Default setting is 1.5 ms.

max_dur

numeric. Maximum duration threshold in milliseconds (ms). Extracted audio events longer than this threshold are ignored. The default setting is 80 ms.

min_area

integer. Minimum area threshold in number of pixels. Extracted segments with an area shorter than this threshold are discarded. Default setting is 40 pixels.

min_TBE

numeric. Minimum time window between two audio events in milliseconds (ms). If the time interval between two successive audio events is shorter than this window, they are ignored. The default setting is 20 ms.

max_TBE

numeric. Maximum time window between two audio events in milliseconds (ms). If the time interval between two successive audio events is longer than this window, they are ignored. The default setting is 1000 ms.

EDG

numeric. Exponential Decay Gain from 0 to 1. Sets the degree of temporal masking at the end of each audio event. This filter avoids extracting noise or echoes at the end of the audio event. The default setting is 0.996.

LPF

integer. Low-Pass Filter (Hz). Frequencies above the cutoff are greatly attenuated. Default is set internally at the Nyquist frequency of the recording.

HPF

integer. High-Pass Filter (Hz). Frequencies below the cutoff are greatly attenuated. Default setting is 16000 Hz. A default of 1000 Hz is recommended for most bird vocalizations.

FFT_size

integer. Size of the Fast Fourrier Transform (FFT) window. Default setting is 256.

FFT_overlap

numeric. Percentage of overlap between two FFT windows (from 0 to 1). Default setting is 0.875.

blur

integer. Gaussian smoothing function for blurring the spectrogram of the audio event to reduce image noise. Default setting is 2.

bg_substract

integer. Foreground extraction with a mean filter applied on the spectrogram of the audio even for image denoising. Default setting is 20.

contrast_boost

integer. Edge contrast enhancement filter of the spectrogram of the audio event to improve its apparent sharpness. Default setting is 20.

settings

logical. TRUE or FALSE. Save on a list the parameters set with the threshold_detection function. Default setting is FALSE.

acoustic_feat

logical. TRUE or FALSE. Extracts the acoustic and signal quality parameters from each audio event in a data frame. The sequences of smoothed amplitude (dB) and frequency (Hz) bins of each audio event, temporal values (in ms) of the beginning and the end of each audio event are also extracted in separate lists. Default setting is TRUE.

metadata

logical. TRUE or FALSE. Extracts on a list the metadata embedded with the Wave file GUANO metadata extraction is not -yet- implemented. Default setting is FALSE.

spectro_dir

character (path) or NULL. Generate an HTML page with the spectrograms numbered by order of detection in the recording. Spectrograms are generated as individual .PNG files and stored in the 'spectro_dir/spectrograms' subdirectory. The R working directory is used if spectro_dir is NULL. spectro_dir is set to NULL by default.

time_scale

numeric. Time resolution of the spectrogram in milliseconds (ms) per pixel (px). Default setting is 0.1 ms for bat echolocation calls. A default of 2 ms/px is recommended for most bird vocalizations.

ticks

either logical or numeric. If TRUE tickmarks are drawn on the (frequency) y-axis and their positions are computed automatically. If numeric, sets the lower and upper limits of the tickmarks and their interval (in Hz). Default setting is TRUE.

Examples

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data(myotis)
Output <- blob_detection(myotis, time_exp = 10, contrast_boost = 30, bg_substract = 30)
Output$data

bioacoustics documentation built on Feb. 8, 2022, 5:06 p.m.