ReviewFrontiers in neuroscience2016
Computational Models of Auditory Scene Analysis: A Review.
Review in Frontiers in neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Single ayahuasca administration mitigates long-term behavioral and neurochemical effects of early-life stress in rats.Journal of neural transmission (Vienna, Austria : 1996) · 2026Article
- A perceptual grouping model for auditory kappa effects.Journal of experimental psychology. Human perception and performance · 2026Article
- Temporal codes and recurrent timing nets for rhythmic expectancy.Frontiers in computational neuroscience · 2026Article
- Tactile stimulations reduce or promote the segregation of auditory streams: psychophysics and modeling.PLoS computational biology · 2025Article
- Auditory object segmentation amplifies prediction error signals in a complex MMN paradigm.Frontiers in neuroscience · 2025Article
- Design and evaluation of a global workspace agent embodied in a realistic multimodal environment.Frontiers in computational neuroscience · 2024Article
- Simultaneous relative cue reliance in speech-on-speech masking.The Journal of the Acoustical Society of America · 2023Article
- Making sense of periodicity glimpses in a prediction-update-loop-A computational model of attentive voice tracking.The Journal of the Acoustical Society of America · 2022Article
- Intention-based predictive information modulates auditory deviance processing.Frontiers in neuroscience · 2022Article
- A biologically oriented algorithm for spatial sound segregation.Frontiers in neuroscience · 2022Article
- Active inference, selective attention, and the cocktail party problem.Neuroscience and biobehavioral reviews · 2021Review
- Auditory streaming emerges from fast excitation and slow delayed inhibition.Journal of mathematical neuroscience · 2021Article
- A Speech-Level-Based Segmented Model to Decode the Dynamic Auditory Attention States in the Competing Speaker Scenes.Frontiers in neuroscience · 2021Article
- Buildup and bistability in auditory streaming as an evidence accumulation process with saturation.PLoS computational biology · 2020Article
- Developmental Designs and Adult Functions of Cortical Maps in Multiple Modalities: Perception, Attention, Navigation, Numbers, Streaming, Speech, and Cognition.Frontiers in neuroinformatics · 2020Review
- Auditory Stream Segregation Can Be Modeled by Neural Competition in Cochlear Implant Listeners.Frontiers in computational neuroscience · 2019Article
- Inhibition-excitation balance in the parietal cortex modulates volitional control for auditory and visual multistability.Scientific reports · 2018Article
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3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Auditory scene analysis (ASA) refers to the process (es) of parsing the complex acoustic input into auditory perceptual objects representing either physical sources or temporal sound patterns, such as melodies, which contributed to the sound waves reaching the ears. A number of new computational models accounting for some of the perceptual phenomena of ASA have been published recently. Here we provide a theoretically motivated review of these computational models, aiming to relate their guiding principles to the central issues of the theoretical framework of ASA. Specifically, we ask how they achieve the grouping and separation of sound elements and whether they implement some form of competition between alternative interpretations of the sound input. We consider the extent to which they include predictive processes, as important current theories suggest that perception is inherently predictive, and also how they have been evaluated. We conclude that current computational models of ASA are fragmentary in the sense that rather than providing general competing interpretations of ASA, they focus on assessing the utility of specific processes (or algorithms) for finding the causes of the complex acoustic signal. This leaves open the possibility for integrating complementary aspects of the models into a more comprehensive theory of ASA.
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