Arrow - TU Dublin (Technological University Dublin) · 2003 · 14 citations · 8 references
Open access
HumanitiesMusicologyAcousticsComputational AcousticsMusic AnalysisDigital Signal ProcessingMusic AcousticsMusic TechnologySignal ProcessingDrum RecordingDrum TranscriptionMusic AlgorithmMusical TranscriptionPrior Related KnowledgeRobustnessSound Source SeparationSubspace Learning
This paper demonstrates the use of Prior Subspace Analysis (PSA) as a method for transcribing drums in the presence of pitched instruments. PSA uses prior subspaces that represent the sources to be transcribed to overcome some of the problems associated with other subspace methods such as Independent Subspace Analysis (ISA) or sub-band ISA. The use of prior knowledge results in improved robustness for transcription purposes and enables the method to work more readily in the presence of pitched instruments than other subspace methods. The system presented in this paper attempts to extend the use of PSA to transcribe drum sounds in the presence of interfering pitched instruments.
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Independent component analysis: algorithms and applications
Aapo Hyvärinen, Erkki Oja · Neural Networks · 2000 · 8.8K citations
Blind signal separation: statistical principles
J.-F. Cardoso · Proceedings of the IEEE · 1998 · 1.9K citations