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I have underwater acoustic recordings and am interested in marking out dolphin whistles. I am currently having to manually remove an echosounder (which has a bit of a sweep to it), as I do not want my detector to log this as a dolphin whistle.

  • Is there a way to do this in PAMGuard?
  • Am I able to build an automated whistle detector for the echosounder signal itself? If so, how?
  • How do I ensure that this makes it so the echosounder pings are not labelled as being both a dolphin whistle and an echosounder?

This question is related to this previously asked question (How do I detect 50kHz echsounder in PAMGuard), but in this case, a pesky echosounder is setting off my automated whistle detector in PAMGuard (rather than a click detector, as was the case of the previous question).

Thanks!

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  • $\begingroup$ Can you provide a screenshot? $\endgroup$
    – user213
    Commented Aug 4, 2022 at 15:08

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I think your best bet may bet may be to use PG to build an echosounder detector, and then use R/Matlab to remove the timeframes that the echosounder exists in. This will cut out a bit of the time you're taking to remove them manually. Then, you can process your WM detector with the filtered data. It isn't elegant. However, outside of creating a bandstop filter at your echosounder frequency range (which may remove whistles and moans), I'm not sure if you can do everything you need to do in one run.

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    $\begingroup$ I would call the suggested method (echosounder detector) as the most elegant method, as it does not manipulate the data. If one starts selective filtering then lot of uncertainties can arise $\endgroup$
    – WMXZ
    Commented Aug 5, 2022 at 11:49

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