Search Results - "Serman, Maja"

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  1. 1

    Closed-Loop Cognitive-Driven Gain Control of Competing Sounds Using Auditory Attention Decoding by Aroudi, Ali, Fischer, Eghart, Serman, Maja, Puder, Henning, Doclo, Simon

    Published in Algorithms (01-10-2021)
    “…Recent advances have shown that it is possible to identify the target speaker which a listener is attending to using single-trial EEG-based auditory attention…”
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    Journal Article
  2. 2

    The effect of phoneme-based auditory training on speech intelligibility in hearing-aid users by Koprowska, Aleksandra, Marozeau, Jeremy, Dau, Torsten, Serman, Maja

    Published in International journal of audiology (01-11-2023)
    “…Hearing loss commonly causes difficulties in understanding speech in the presence of background noise. The benefits of hearing-aids in terms of speech…”
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  3. 3

    The effect of auditory training on listening effort in hearing-aid users: insights from a pupillometry study by Koprowska, Aleksandra, Wendt, Dorothea, Serman, Maja, Dau, Torsten, Marozeau, Jeremy

    Published in International journal of audiology (30-01-2024)
    “…The study investigated how auditory training affects effort exerted by hearing-impaired listeners in speech-in-noise task. Pupillometry was used to…”
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  4. 4

    Neural speech tracking shifts from the syllabic to the modulation rate of speech as intelligibility decreases by Schmidt, Fabian, Chen, Ya-Ping, Keitel, Anne, Rösch, Sebastian, Hannemann, Ronny, Serman, Maja, Hauswald, Anne, Weisz, Nathan

    Published in Psychophysiology (01-11-2023)
    “…The most prominent acoustic features in speech are intensity modulations, represented by the amplitude envelope of speech. Synchronization of neural activity…”
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  5. 5

    Computer-based auditory phoneme discrimination training improves speech recognition in noise in experienced adult cochlear implant listeners by Schumann, Annette, Serman, Maja, Gefeller, Olaf, Hoppe, Ulrich

    Published in International journal of audiology (01-03-2015)
    “…Abstract Objective: Specific computer-based auditory training may be a useful completion in the rehabilitation process for cochlear implant (CI) listeners to…”
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  6. 6

    Enhancement, adaptation, and the binaural system by Šerman, Maja, Semal, Catherine, Demany, Laurent

    “…In a test sound consisting of a burst of pink noise, an arbitrarily selected target frequency band can be "enhanced" by the previous presentation of a similar…”
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  7. 7

    Auditory Change Detection: Simple Sounds Are Not Memorized Better than Complex Sounds by Demany, Laurent, Trost, Wiebke, Serman, Maja, Semal, Catherine

    Published in Psychological science (01-01-2008)
    “…Previous research has shown that the detectability of a local change in a visual image is essentially independent of the complexity of the image when the…”
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  8. 8

    Modelling neural informational propagation and functional auditory sensory memory with temporal multi-scale operators by Serman, Maja, Serman, Nikola, Griffith, Niall J L

    Published in Journal of computational neuroscience (01-08-2007)
    “…In this paper we prove that both diffusion and the leaky integrators cascade based transport mechanisms have as their inherent property the effect of temporal…”
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  11. 11

    Investigating Melodic Segmentation through the Temporal Multi-Scaling Framework by Serman, Maja, Griffith, Niall J. L.

    Published in Musicae scientiae (01-09-2003)
    “…In this paper we approach the subject of modelling and understanding segmentation processes in melodic perception using a temporal multi-scale representation…”
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  12. 12

    Describing Melodic Structure Using a MusicTracker — Issues in Notation Andsound by Ŝerman, A, Griffith, Niall J. L.

    Published in Musicae scientiae (01-09-2002)
    “…This paper describes preliminary research towards the development of a system that can be used to investigate the mechanisms and representations underlying…”
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