Means of Integrating Audio Content Analysis Algorithms
Anssi P. Klapuri · 2001
Two generic mechanisms are proposed that facilitate the efficient integration of audio content analysis algorithms. The first mechanism, priorityrule based interleaving of algorithms, allows the simultaneous interoperation of several bottom-up analysis modules by interleaving their atomic steps. It aims at increased accuracy through controlled manipulation of common data. The second mechanism, top-down routing of requests for data, allows high-level predictions to direct the bottom-up analysis towards verifying the predicted hypotheses by observations. Examples from automatic music transcription are presented to clarify the use of the proposed methods. KLAPURI AUDIO CONTENT ANALYSIS AES 110 TH CONVENTION, AMSTERDAM, NETHERLANDS, 2001 MAY 12--15 2 . System should be able to handle uncertain data, and let several alternative explanations evolve side-by-side. In this paper, a so-called blackboard architecture was selected to be the implementational starting point. Blackboard systems, ...