title: Extraction of the envelope from impulse responses using pre-processed energy detection for early decay estimation.
abstract: The Schroeder's backward integration method and its applications have been widely studied in the literature; some papers analyze the performance of the method, some others suggest various enhancement techniques. In spite of these findings, there exist several cases where the energy decay curve extracted using the classical backward integration method and the parameters computed from it seem not always representative of the phenomenon under study. Among them, the cases where the early decay is dependent on strong, distinct reflections occurring just after the direct wave, as in most Italian opera houses. Other cases are measured impulse responses with a very low signal-to-noise ratio or missing the direct wave. In the literature, alternatives to the Schroeder's method have been proposed, ranging from Hilbert transform to non-linear processing techniques. In this work a method for the extraction of the envelope based on pre-processed energy detection for early decay estimation is proposed. It is shown that it returns an envelope well matching the first part of the decay even in non-linear cases, returning detailed information on the first part of the decay. The performance of the proposed method is presented and discussed for some exemplary impulse responses measured in historical opera houses. A preliminary study on the perceptive relevance of the method is finally presented.
authors.affiliation: Department of Industrial Engineering, University of Bologna, Bologna, Italy.
authors.forename: Simona
authors.initials: S
authors.lastname: De Cesaris
authors.affiliation: Department of Industrial Engineering, University of Bologna, Bologna, Italy.
authors.forename: Dario
authors.initials: D
authors.lastname: D'Orazio
authors.affiliation: Department of Industrial Engineering, University of Bologna, Bologna, Italy.
authors.forename: Federica
authors.initials: F
authors.lastname: Morandi
authors.affiliation: Department of Industrial Engineering, University of Bologna, Bologna, Italy.
authors.forename: Massimo
authors.initials: M
authors.lastname: Garai
mesh_terms: D000162:Acoustics; D005160:Facility Design and Construction; D006801:Humans; D016018:Least-Squares Analysis; D008962:Models, Theoretical; D009146:Music; D012815:Signal Processing, Computer-Assisted; D013016:Sound; D013997:Time Factors