wav2db: Extract pulses and store them in a soundcluster database
In ThierryO/soundcluster: Extract sounds from WAV files and cluster them

Extract pulses and store them in a soundcluster database

wav2db(db, path, recursive = TRUE, make, model, serial = NA_character_,
  te_factor = 1, channel = c("left", "right"), max_length = 30,
  window_ms = 1, overlap = 0.9, threshold_amplitude = 10,
  min_peak_amplitude = 30, dimensions = 32, existing = c("append",
  "skip"), frequency_range = c(10000, 130000))

`db`	A connection to a soundcluster database
`path`	the name of a file or a directory
`recursive`	logical. Should the listing recurse into directories?
`make`	the manufacturer of the device
`model`	the model of the device
`serial`	the optional serial number of the device
`te_factor`	The factor to which the original sound was slowed down prior to recording
`channel`	Select the left or the right channel
`max_length`	Maximum length of the recording to use in seconds. If the recording is longer, the last part is ignored.
`window_ms`	The size of the window in microseconds. Default to 1.
`overlap`	The overlap of two windows. Defaults to 0.9.
`threshold_amplitude`	relevant regions have an amplitude above the `threshold_amplitude`. Defaults to 10 dB.
`min_peak_amplitude`	the maximum amplitude in a relevant region must be above `min_peak_amplitude`. Defaults to 30 dB.
`dimensions`	the number of rows and columns used to resample the shape. Must be a single number and a power of 2. Will be altered to the next power of 2.
`existing`	what to do with existing spectrograms. "append" will add new pulses. "skip" will skip the recording.
`frequency_range`	the range of frequencies to use in Hz. Frequencies below the minimum or above the maximum are removed from the spectrogram. Defaults to 10000 (10 kHz) and 130000 (130 kHz).