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Hello Davyd, Josh, Justin, and all,
Thank you for the feature request. I have opened a ticket on the GitHub issue tracker: https://github.com/BirdVox/birdvoxdetect/issues/75
Davyd is correct that using an off-the-shelf converter like pysox should get you going, as long as you're OK with loading the entire MP3 file first.
For context, we've designed BirdVoxDetect in such a way that it can process audio files of arbitrary length, even if they don't fit into RAM. This is important for full night recordings: they are ~1GB in size and their spectrograms are even heavier, which tends to overflow the memory. Thus, internally, we process audio files by "chunks" of 450 seconds. (i.e. 8 chunks per hour)
I think that a realistic path to address this would be to replace calls to pysoundfile by calls to librosa.load with a movable offset parameter and a fixed duration of 450 seconds.
For WAV and FLAC files, should be backwards compatible, both in terms of usage and package dependencies. (we already require librosa for computing spectrograms)
As a bonus, it will become possible to process MP3 files directly
in BirdVoxDetect by installing ffmpeg or gstreamer to the conda
environment. See this paragraph on the README section of librosa:
How does this sound? If you agree with the plan i can experiment
with librosa.load and prepare a pull request for the next version
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