  This paper presents Soundbay, an open-source Python framework that allows
bio-acoustics and machine learning researchers to implement and utilize deep
learning-based algorithms for acoustic audio analysis. Soundbay provides an
easy and intuitive platform for applying existing models on one's data or
creating new models effortlessly. One of the main advantages of the framework
is the capability to compare baselines on different benchmarks, a crucial part
of emerging research and development related to the usage of deep-learning
algorithms for animal call analysis. We demonstrate this by providing a
benchmark for cetacean call detection on multiple datasets. The framework is
publicly accessible via https://github.com/deep-voice/soundbay
