Neural Crossovers? AI techniques for ultimate listening experience

Jakub Tkaczuk

supervisor: Piotr Bilski



Traditional sound reproduction systems consist of sound source, amplifier(s) and speaker(s). Idea is to embed artificial intelligence techniques into crossover that splits signal between individual transducers. Basically, our goal is to replace traditional passive filters with set of digital filters that will be controlled with AI engine. AI technology allows multiple applications including not only detection, classification and recognition but also actual signal modifications and AI techniques (e.g. Music Information Retrieval) among others are able to extract multiple parameters about audio signal such as genre, type of instruments and many others.