Assessing the perceived reverberation in different rooms for a set of musical instrument sounds

Osses, Alejandro; McLachlan,; Kohlrausch,

doi:10.1101/2020.03.13.984542

Cited by 2 publications

(1 citation statement)

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“…Central processor type # Repr. Peripheral stage based on A. Template-based optimal detector (Dau et al, 1997) 3 Dau et al (1997) B. Autocorrelator-based pitch analyzer (Meddis & O'Mard, 1997) 1 Meddis & Hewitt (1991) C. Discriminability analyzer (Fritz et al, 2007) 2 Glasberg & Moore (2002) D. Envelope analyzer (Jørgensen & Dau, 2011) 1 a Ewert & Dau (2000) E. Room Acoustic Analyzer (van Dorp et al, 2013;Osses et al, 2017aOsses et al, , 2020a 1 Breebaart et al (2001a) F. Envelope analyzer (Bianchi et al, 2019) 1 Zilany et al (2009Zilany et al ( , 2014) G. RMS difference detector (Osses et al, 2019b;Verhulst et al, 2018b) 3 Verhulst et al (2018a) H. Template-based discriminability detector (Maxwell et al, 2020) 2 Zilany et al (2009Zilany et al ( , 2014 a Processor D processes "individual" speech samples in noise (i.e., one test interval), but the processor also needs to have access to the internal representation of the noise alone in order to generate its output metric.…”

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confidence: 99%

Perceptual similarity between piano notes: Simulations with a template-based perception model

Osses

Kohlrausch

2021

The Journal of the Acoustical Society of America

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In this paper the auditory model developed by Dau et al. [J. Acoust. Soc. Am. 102, 2892-2905] was used to simulate the perceptual similarity between complex sounds. For this purpose, a central processor stage was developed and attached as a back-end module to the auditory model. As complex sounds, a set of recordings of one note played on seven different pianos was used, whose similarity has been recently measured by Osses et al. [J. Acoust. Soc. Am. 146, 1024-1035] using a 3-AFC discrimination task in noise. The auditory model has several processing stages that are to a greater or lesser extent inspired by physiological aspects of the human normal-hearing system. A set of configurable parameters in each stage affects directly the sound (internal) representations that are further processed in the developed central processor. Therefore, a comprehensive review of the model parameters is given, indicating the configuration we chose. This includes an in-depth description of the auditory adaptation stage, the adaptation loops. Simulations of the similarity task were compared with (1) existing experimental data, where they had a moderate to high correlation, and with (2) simulations using an alternative but similar background noise to that of the experiments, which were used to obtain further information about how the participants' responses were weighted as a function of frequency.

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Section: Introductionmentioning

confidence: 99%

Perceptual similarity between piano notes: Simulations with a template-based perception model

Osses

Kohlrausch

2021

The Journal of the Acoustical Society of America

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Methods of Using Artificial Reverberation in Modern Sound Engineering

Koriakin

2022

OEEEMU

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The article is devoted to the systematization of the main modern methods of using reverberation in sound engineering and methodological bases of its use in the educational process in higher education institutions. Scientific novelty is to clarify the classification and systematization of the main modern methods of using artificial reverberation, as well as methodological principles of mastering artificial reverberation in the process of training. The purpose of the article is to systematize the main modern methods of using reverberation in sound engineering. To achieve this goal, the following methods were used: system-analytical, art history and comparative-historical. The main results and conclusions of the research. The evolution of digital technologies in the field of sound engineering, the introduction of reverberation algorithms have greatly contributed to the expansion of the use of artificial reverberation in sound engineering. The article briefly describes "convolutional" reverberation as one that operates with the most modern reverberation algorithm. Currently, a variety of effective methods of artificial reverberation using has been developed in sound engineering, which can be used to implement various creative tasks. The article describes the methods of using artificial reverberation for sound perspective creating; for back-vocal processing; for delay processing; for "softening" the sound of individual parts of musical instruments; for different signals of the same type processing; for solo batch processing using two reverb effects. Some types of artificial reverberation were used at different stages of the music industry development. The current state of software development allows the use of several reverb algorithms simultaneously, making it possible to create original sounds. In the process of mastering of various methods of using artificial reverberation by higher education students, it is best to start their acquaintance with artificial reverberation from the simplest reverberation effects, which can be implemented in "analog" effects processor, in which only some parameters vary based on the manufacturer's algorithms. Further mastering of artificial reverberation should be carried out through software (in particular, free VST-plugins of artificial reverberation) used in digital audio workstations (DAW).

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Assessing the perceived reverberation in different rooms for a set of musical instrument sounds

Cited by 2 publications

References 10 publications

Perceptual similarity between piano notes: Simulations with a template-based perception model

Perceptual similarity between piano notes: Simulations with a template-based perception model

Methods of Using Artificial Reverberation in Modern Sound Engineering

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