I am a Computer Science student working on a project to analyze dog barks and classify the underlying emotion. I am considering two different architectural approaches for the audio processing pipeline: Two-stage pipeline: An initial model first classifies the dog's breed (or size category), and its output is passed as an input feature (or used to route the input) to a secondary model that predicts the emotional state. Single end-to-end model: A...
Originally asked by noa on Stack Exchange (datascience) (CC BY-SA 4.0).
Variant 541.