I don't have background in bioacoustics but working on a data-science project in bioacoustics.
I am working with animal vocalizations recorded at sampling rate of 250000.
Animals are bats, which are known to produce sounds in high frequency.
In background literature, I found the use of MEL spectrograms also for bats, and learnt that MEL spectrograms compress the range into log-scale.
But if so, I would expect infomation is lost for highest frequencies, and if so, I would expect worse results in using MEL.
Now, for the sake of benchmarking, I would like to reduce the number of variables of my study, and if other works used MEL, well there shoudl be a reason.
First goal : I am trying to identify vocal units, i.e. discretize vocalizations that seems (at human perception) kind of continuous screeches.
Can you help understand pros and cons of MEL VS linear spectrograms , when dealing with animal vocalizations?
Can you mention some good practices to keep in mind, considering the above goal ?