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Very excited to find out about the freesound-datasets project. One idea for future implementations: I think it would be useful to create a way of determining audio events within longer audio files. For example, if an audio file consists of a field-recording that contains, say, church bells from 1:15-1:25. Such audio events that stand out from the rest of the recording could be determined via amplitude spikes, or probably more sophisticated ML techniques. I would be interested in knowing if algorithms exist to achieve something like this.
If such a feature were implemented it would significantly expand the material available for the dataset.
The text was updated successfully, but these errors were encountered:
It would something very useful indeed.
In #123 we propose to create a task for enabling the manual definition of the time regions where a specific event occurs.
It would be interesting, as you point, to have an automatic method that can already propose some regions that could be then refined by people.
Very excited to find out about the freesound-datasets project. One idea for future implementations: I think it would be useful to create a way of determining audio events within longer audio files. For example, if an audio file consists of a field-recording that contains, say, church bells from 1:15-1:25. Such audio events that stand out from the rest of the recording could be determined via amplitude spikes, or probably more sophisticated ML techniques. I would be interested in knowing if algorithms exist to achieve something like this.
If such a feature were implemented it would significantly expand the material available for the dataset.
The text was updated successfully, but these errors were encountered: