Linz

Florian Schmid

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@fschmid56

University Assistant @CPJKU Linz Working on Audio Classification, Audio Tagging, Acoustic Scene Classification, Low-Complexity Models

EfficientAT. This repository aims at providing efficient CNNs for Audio Tagging. We provide AudioSet pre-trained models ready for downstream training and extraction of audio embeddings.

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PretrainedSED. Python

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EfficientAT_HEAR. Evaluate EfficientAT models on the Holistic Evaluation of Audio Representations Benchmark.

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cpjku_dcase23. This repository contains the code of the CP JKU submission to DCASE23 Task 1 "Low-complexity Acoustic Scene Classification"

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malach23-pipeline. Jupyter Notebook

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