UCSD Engineers for Exploration
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A repo designed to convert audio-based "weak" labels to "strong" intraclip labels. Provides a pipeline to compare automated moment-to-moment labels to human labels. Methods range from DSP based foreground-background separation, cross-correlation based template matching, as well as bird presence sound event detection deep learning models!
Machine Learning Development and code for the Mangrove Monitoring Project
Data processing and training pipeline for classifying bird species by sound
Desktop application mange, automatically label and verify audio data
Classification Service for the Mangrove Monitoring Image Classification Tool
Repositories
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Official implementation of EfficientLEAF, a learnable audio frontend.
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Desktop application mange, automatically label and verify audio data
Machine Learning Development and code for the Mangrove Monitoring Project
Publication for OCEANS 2025
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Updated vrs of SoundSim, now in Unreal Engine 5 with our own file handing
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Training, Data Pre-processing, and Evaluation pipeline for bioacoustic models.
Data processing and training pipeline for classifying bird species by sound
FishSense Web Services - Deploy
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Smartfin Data Endpoint
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Smartfin FW v3
Classification Service for the Mangrove Monitoring Image Classification Tool
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Core library for FishSense
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A repo designed to convert audio-based "weak" labels to "strong" intraclip labels. Provides a pipeline to compare automated moment-to-moment labels to human labels. Methods range from DSP based foreground-background separation, cross-correlation based template matching, as well as bird presence sound event detection deep learning models!
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Draft for using vector databases and model embeddings, this system intends to uncover knowledge from the acoustic soundscapes
No description provided.