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1 vote
3 answers
384 views

BirdNET: workflow for correcting manually trained classifier?

I am using BirdNET GUI for analysis of bird vocalizations. I have created a classifier using the GUI and some training data, and I am wanting to improve it, e.g. correct false classifications and ...
Emma's user avatar
  • 11
9 votes
4 answers
202 views

Filtering out wind from audio recordings

I am currently working on building a deep learning model for snowscooter detections. The model does fairly well at detecting snowscooters but it triggers on wind noises, increasing the rate of false ...
Benjamin Cretois's user avatar
11 votes
1 answer
83 views

Are there available raw model weights for bat detector / classifier?

I will need to analyze some soundscape data from Norway and it is likely that bats are present in the area. I was wondering if there was any available model trained for bat detection or ideally bat ...
Benjamin Cretois's user avatar
12 votes
2 answers
98 views

What criteria should be used to decide whether an automated detection overlaps with a reference annotation?

For those who use automated detection and routinely need to evaluate detector performance, what constitutes an overlap between an automated detection and a reference annotation? Most of my ...
Cathleen B's user avatar
  • 1,054
9 votes
1 answer
347 views

Probability of detection / probability of false alarm vs. precision / recall

When using automated detection of focal species sounds, when and why should we focus on characterizing probability of detection and probability of false alarm, vs. focusing on precision and recall? ...
Cathleen B's user avatar
  • 1,054
10 votes
2 answers
75 views

Why can't I run a classifier on the dataset on which it was trained?

I'm new to machine learning methods and have terabytes of acoustic data containing odontocete clicks. I want to train a classifier to classify these clicks, so I've used a subset of this data to do so....
Chloe's user avatar
  • 3,715