ArticleFrontiers in neuroscience2022
A biologically oriented algorithm for spatial sound segregation.
Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- A Speech-Segregation Algorithm for Spatial Hearing Aids to Operate With Multiple Sound Sources.Journal of speech, language, and hearing research : JSLHR · 2026Article
- A brain-inspired algorithm improves "cocktail party" listening for individuals with hearing loss.Communications engineering · 2025Article
- fNIRS Dataset During Complex Scene Analysis.bioRxiv : the preprint server for biology · 2024Article
- fNIRS dataset during complex scene analysis.Frontiers in human neuroscience · 2024Article
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5 authors.
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Abstract
Listening in an acoustically cluttered scene remains a difficult task for both machines and hearing-impaired listeners. Normal-hearing listeners accomplish this task with relative ease by segregating the scene into its constituent sound sources, then selecting and attending to a target source. An assistive listening device that mimics the biological mechanisms underlying this behavior may provide an effective solution for those with difficulty listening in acoustically cluttered environments (e.g., a cocktail party). Here, we present a binaural sound segregation algorithm based on a hierarchical network model of the auditory system. In the algorithm, binaural sound inputs first drive populations of neurons tuned to specific spatial locations and frequencies. The spiking response of neurons in the output layer are then reconstructed into audible waveforms
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