cut segments with sox and ignore files #333
Open
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
…ng big data folder that were used to train
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Utilizing sox for audio segment extraction would significantly improve processing speed. Additionally, users often manage large Passive Acoustic Monitoring projects with extensive data, some of which may have been previously used for training. My proposed implementation allows users to specify a .txt file containing the names of audio files used for training, ensuring these files are excluded from the segment extraction process.
I made these changes in order to enhance compatibility with my upcoming open-source app, the code will be uploaded here soon, stay tuned! Euphonia AI Reviewer
Thanks again for developing this amazing project. I look forward to your feedback,