Aichroth, P.P.AichrothCuccovillo, L.L.CuccovilloMaksimovic, M.M.Maksimovic2022-03-142022-03-142018https://publica.fraunhofer.de/handle/publica/40742210.1109/CBMI.2018.8516477Within recent years, several applications have emerged which require detection and accurate localization of unknown partial audio matches within a dataset. This requirement cannot be adequately addressed with state-of-the-art matching approaches based on fingerprinting. We propose a new approach that supports partial matching detection and localization within a dataset, and we evaluate it against a popular audio matching algorithm, showing that it performs significantly better for the given problem domain.en621006conference paper