Evaluation of the Perceived Naturalness of Artificial Reverberation Algorithms

Date

2020-06-02

Author

Djordjević, Stojan
Hacıhabiboğlu, Hüseyin
Cvetkovic, Zoran
De Sena, Enzo

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Listening tests were carried out using a modified MUSHRA method to compare the perceived naturalness of reverberation generated using scattering delay networks (SDNs), feedback delay networks (FDNs), CATT- Acoustic modelling, and convolution with recorded room impulse responses. The difference in naturalness ratings achieved by reverberation generated using FDNs and SDNs was statistically significant, with the mean rating being 12% higher for SDN stimuli than for FDN stimuli. It was also found that CATT-Acoustic models which had been simplified to a bare rectangular room received lower ratings than models that included furniture or irregular room shaping, suggesting that the scattering and mixing effects of irregularities cause improvements in perceived naturalness of the generated reverberation.

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https://www.researchgate.net/profile/Stojan-Djordjevic/publication/341901410_Evaluation_of_the_Perceived_Naturalness_of_Artificial_Reverberation_Algorithms/links/5ed8aeba92851c9c5e7ba370/Evaluation-of-the-Perceived-Naturalness-of-Artificial-Reverberation-Algorithms.pdf
https://hdl.handle.net/11511/93595

Conference Name

148th AES Convention

Collections

Graduate School of Informatics, Conference / Seminar

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Citation Formats

S. Djordjević, H. Hacıhabiboğlu, Z. Cvetkovic, and E. De Sena, “Evaluation of the Perceived Naturalness of Artificial Reverberation Algorithms,” presented at the 148th AES Convention, New York, Amerika Birleşik Devletleri, 2020, Accessed: 00, 2021. [Online]. Available: https://www.researchgate.net/profile/Stojan-Djordjevic/publication/341901410_Evaluation_of_the_Perceived_Naturalness_of_Artificial_Reverberation_Algorithms/links/5ed8aeba92851c9c5e7ba370/Evaluation-of-the-Perceived-Naturalness-of-Artificial-Reverberation-Algorithms.pdf.