Statistics of natural reverberation enable perceptual separation of sound and space. [PDF]
Proc Natl Acad Sci U S A, 2016 In everyday listening, sound reaches our ears directly from a source as well as indirectly via reflections known as reverberation. Reverberation profoundly distorts the sound from a source, yet humans can both identify sound sources and distinguish ...
Traer J, McDermott JH.
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Hierarchical encoding of natural sound mixtures in ferret auditory cortex. [PDF]
ElifeExtracting relevant auditory signals from complex natural scenes is a fundamental challenge for the auditory system. Sounds from multiple sources overlap in time and frequency.
Landemard A, Bimbard C, Boubenec Y.
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Acoustic Correlates of Auditory Object and Event Perception: Speakers, Musical Timbres, and Environmental Sounds. [PDF]
Front Psychol, 2019 Partial funding for Open Access provided by the UMD Libraries' Open Access Publishing Fund.Human listeners must identify and orient themselves to auditory objects and events in their environment.
Ogg M, Slevc LR.
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Periodotopy in the gerbil inferior colliculus: local clustering rather than a gradient map. [PDF]
Front Neural Circuits, 2015 Periodicities in sound waveforms are widespread, and shape important perceptual attributes of sound including rhythm and pitch. Previous studies have indicated that, in the inferior colliculus (IC), a key processing stage in the auditory midbrain ...
Schnupp JW, Garcia-Lazaro JA, Lesica NA.
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ERBM-SE: Extended Restricted Boltzmann Machine for Multi-Objective Single-Channel Speech Enhancement [PDF]
, 2022 Machine learning-based supervised single-channel speech enhancement has achieved considerable research interest over conventional approaches. In this paper, an extended Restricted Boltzmann Machine (RBM) is proposed for the spectral masking-based noisy ...
Ahmed Almani, Aftab +5 more
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Guest editorial: Special issue on advances in deep learning based speech processing [PDF]
, 2022 International ...
Fosler-Lussier, Eric +3 more
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Mask-based enhancement of very noisy speech [PDF]
, 2020 When speech is contaminated by high levels of additive noise, both its perceptual quality and its intelligibility are reduced. Studies show that conventional approaches to speech enhancement are able to improve quality but not intelligibility.
Lightburn, Leo Charles
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Adaptive time-frequency analysis for cognitive source separation [PDF]
, 2009 This thesis introduces a framework for separating two speech sources in non-ideal, reverberant environments. The source separation architecture tries to mimic the extraordinary abilities of the human auditory system when performing source separation.
Kümmel, Sylvia
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Towards More Efficient DNN-Based Speech Enhancement Using Quantized Correlation Mask [PDF]
, 2021 Many studies on deep learning-based speech enhancement (SE) utilizing the computational auditory scene analysis method typically employs the ideal binary mask or the ideal ratio mask to reconstruct the enhanced speech signal.
Abdullah, S, Demosthenous, A, Zamani, M
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Constructing Invariant Representation of Sound Using Optimal Features And Sound Statistics Adaptation [PDF]
, 2021 The ability to convey information using sound is critical for the survival of many vocal species, including humans. These communication sounds (vocalizations or calls) are often comprised of complex spectrotemporal features that require accurate ...
Liu, ShiTong
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