We present the integration of various CNN TensorFlow
models developed for different MIR tasks into Essentia.
This is a continuation of our previous work [1], extending
the list of supported models and adding new algorithms to
facilitate usability. Essentia provides input feature extraction
and inference with TensorFlow models in a single C++
pipeline with Python bindings, facilitating the deployment
of C++ and Python MIR applications. We assess the new
models’ capabilities to serve as embedding ...
We present the integration of various CNN TensorFlow
models developed for different MIR tasks into Essentia.
This is a continuation of our previous work [1], extending
the list of supported models and adding new algorithms to
facilitate usability. Essentia provides input feature extraction
and inference with TensorFlow models in a single C++
pipeline with Python bindings, facilitating the deployment
of C++ and Python MIR applications. We assess the new
models’ capabilities to serve as embedding extractors in
many downstream classification tasks. All presented models
are publicly available on the Essentia website.
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