The effect of room parameters on speaker verification using reverberant speech

Shabtai, Noam R.; Zigel, Yaniv; Rafaely, Boaz

doi:10.1109/eeei.2008.4736694

Cited by 9 publications

(3 citation statements)

References 14 publications

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“…The impression of the room size is likely to play an essential role in the perceived agreement of virtual room acoustics with the real environment. There have been attempts to estimate the size, shape (Tukuljac et al, 2018;Kim et al, 2017) and volume (Shabtai et al, 2010;Genovese et al, 2019) of rooms blindly. However, the auditory perception of room size does not linearly depend on the room's actual size.…”

Section: Example: Auditory Perception Of Room Sizementioning

confidence: 99%

Perceptual Matching of Room Acoustics for Auditory Augmented Reality in Small Rooms - Literature Review and Theoretical Framework

2022

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For the realization of auditory augmented reality (AAR), it is important that the room acoustical properties of the virtual elements are perceived in agreement with the acoustics of the actual environment. This perceptual matching of room acoustics is the subject reviewed in this paper. Realizations of AAR that fulfill the listeners’ expectations were achieved based on pre-characterization of the room acoustics, for example, by measuring acoustic impulse responses or creating detailed room models for acoustic simulations. For future applications, the goal is to realize an online adaptation in (close to) real-time. Perfect physical matching is hard to achieve with these practical constraints. For this reason, an understanding of the essential psychoacoustic cues is of interest and will help to explore options for simplifications. This paper reviews a broad selection of previous studies and derives a theoretical framework to examine possibilities for psychoacoustical optimization of room acoustical matching.

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Section: Example: Auditory Perception Of Room Sizementioning

confidence: 99%

Perceptual Matching of Room Acoustics for Auditory Augmented Reality in Small Rooms - Literature Review and Theoretical Framework

2022

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“…and their reflections from surrounding surfaces. These reflections are attenuated, time-delayed, and additively aggregated as reverberation, a cue that listeners leverage to self-orient (Flanagin et al, 2017; Kolarik, Cirstea, et al, 2013; Kolarik, Pardhan, et al, 2013), optimize perception (Bidelman et al, 2018; Francl & McDermott, 2022; Slama & Delgutte, 2015)2015), and make inferences about the environment (Kolarik et al, 2021; Papayiannis et al, 2020; Peters et al, 2012; Shabtai et al, 2010; Teng et al, 2017; Traer et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Sensory and perceptual decisional processes underlying the perception of reverberant auditory environments

García-Lázaro,

Teng

2024

Preprint

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Reverberation, a ubiquitous feature of real-world acoustic environments, exhibits statistical regularities that human listeners leverage to self-orient, facilitate auditory perception, and understand their environment. Despite the extensive research on sound source representation in the auditory system, it remains unclear how the brain represents real-world reverberant environments. Here, we characterized the neural response to reverberation of varying realism by applying multivariate pattern analysis to electroencephalographic (EEG) brain signals. Human listeners (12 male and 8 female) heard speech samples convolved with real-world and synthetic reverberant impulse responses and judged whether the speech samples were in a “real” or “fake” environment, focusing on the reverberant background rather than the properties of speech itself. Participants distinguished real from synthetic reverberation with ∼75% accuracy; EEG decoding reveals a multistage decoding time course, with dissociable components early in the stimulus presentation and later in the peri-offset stage. The early component predominantly occurred in temporal electrode clusters, while the later component was prominent in centro-parietal clusters. These findings suggest distinct neural stages in perceiving natural acoustic environments, likely reflecting sensory encoding and higher-level perceptual decision-making processes. Overall, our findings provide evidence that reverberation, rather than being largely suppressed as a noise-like signal, carries relevant environmental information and gains representation along the auditory system. This understanding also offers various applications; it provides insights for including reverberation as a cue to aid navigation for blind and visually impaired people. It also helps to enhance realism perception in immersive virtual reality settings, gaming, music, and film production.SIGNIFICANCEIn real-world environments, multiple acoustic signals coexist, typically reflecting off innumerable surrounding surfaces as reverberation. While reverberation is a rich environmental cue and a ubiquitous feature in acoustic spaces, we do not fully understand how our brains process a signal usually treated as a distortion to be ignored. When asking human participants to make perceptual judgments about reverberant sounds during EEG recordings, we identified distinct, sequential stages of neural processing. The perception of acoustic realism first involves encoding low-level reverberation acoustic features and their subsequent integration into a coherent environment representation. This knowledge provides insights for enhancing realism in immersive virtual reality, music, and film production, and using reverberation to guide navigation for blind and visually impaired people.

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“…Furthermore, the channel parameters can even be used to estimate the environmental scale [5,6]. In many applications, the channel identification has to be carried out blindly, this means that the channel parameters have to be estimated by exploiting no other information than the received signals.…”

Section: Introductionmentioning

confidence: 99%

Blind Identification of Multichannels with Kalman Filter

Qu¹,

Mei²,

Hu³

et al. 2017

Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)

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Abstract:A novel approach for blind multichannel identification is proposed on the basis of Kalman filter theory. Taking advantage of the cross relations between any pair of the multichannel outputs, the process and measurement equations are established in state space. The standard Kalman filter algorithm is simplified by exploiting the special zero observation vector which will leads to the homogenous iterative ways of the state vector and the filtered state-error correlation matrix. Simulations show that the convergence speed is significantly higher than those of LMS-like approaches.

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The effect of room parameters on speaker verification using reverberant speech

Cited by 9 publications

References 14 publications

Perceptual Matching of Room Acoustics for Auditory Augmented Reality in Small Rooms - Literature Review and Theoretical Framework

Perceptual Matching of Room Acoustics for Auditory Augmented Reality in Small Rooms - Literature Review and Theoretical Framework

Sensory and perceptual decisional processes underlying the perception of reverberant auditory environments

Blind Identification of Multichannels with Kalman Filter

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