Search Results - "Jason, Filos"

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  1. 1

    Inference of Room Geometry From Acoustic Impulse Responses by Antonacci, F., Filos, J., Thomas, M. R. P., Habets, E. A. P., Sarti, A., Naylor, P. A., Tubaro, S.

    “…Acoustic scene reconstruction is a process that aims to infer characteristics of the environment from acoustic measurements. We investigate the problem of…”
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    Journal Article
  2. 2

    A Sequential Bayesian Algorithm for DOA Tracking in Time‐Varying Environments by Gao, Xunzhang, Li, Xiang, Jason, Filos, Dai, Wei

    Published in Chinese Journal of Electronics (01-01-2015)
    “…This paper focuses on the Direction of arrival (DOA) tracking problem in dynamic environments where each source signal is modeled as a Gaussian process with…”
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    Journal Article
  3. 3

    Geometric inference of the room geometry under temperature variations by Annibale, P., Filos, J., Naylor, P. A., Rabenstein, R.

    “…Geometric inference is an approach for localizing reflectors in a closed acoustic space. It is based on a simple observation that turns time differences of…”
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    Conference Proceeding
  4. 4

    TDOA-Based Speed of Sound Estimation for Air Temperature and Room Geometry Inference by Annibale, P., Filos, J., Naylor, P. A., Rabenstein, R.

    “…Spatially distributed acoustic sensors find increasingly many new applications in speech-based human-machine interfaces. One well researched topic is the…”
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    Journal Article
  5. 5

    Inferring room geometries by Filos, Jason

    Published 01-01-2013
    “…Determining the geometry of an acoustic enclosure using microphone arrays has become an active area of research. Knowledge gained about the acoustic…”
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    Dissertation
  6. 6

    VC-ENHANCE: Speech Restoration with Integrated Noise Suppression and Voice Conversion by Byun, Kyungguen, Filos, Jason, Visser, Erik, Moon, Sunkuk

    Published 09-09-2024
    “…Noise suppression (NS) algorithms are effective in improving speech quality in many cases. However, aggressive noise suppression can damage the target speech,…”
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    Journal Article
  7. 7

    Tracking dynamic sparse signals with hierarchical Kalman filters: A case study by Filos, Jason, Karseras, Evripidis, Wei Dai, Shulin Yan

    “…Tracking and recovering dynamic sparse signals using traditional Kalman filtering techniques tend to fail. Compressive sensing (CS) addresses the problem of…”
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    Conference Proceeding
  8. 8

    Robust inference of room geometry from acoustic measurements using the hough transform by Filos, Jason, Canclini, Antonio, Thomas, Mark R. P., Antonacci, Fabio, Sarti, Augusto, Naylor, Patrick A.

    “…The problem of localizing reflective boundaries in an acoustic environment from acoustic measurements is considered. Specifically, localization of multiple…”
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    Conference Proceeding
  9. 9

    Localization of planar acoustic reflectors from the combination of linear estimates by Filos, J., Canclini, A., Antonacci, F., Sarti, A., Naylor, P. A.

    “…In this paper we present a simple yet effective method for estimating the geometry of an acoustic enclosure in three-dimensions. By capturing the acoustic…”
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    Conference Proceeding
  10. 10

    DOA tracking via Simultaneous Angle-Source Update (SASU) by Xunzhang Gao, Filos, J, Wei Dai

    “…This paper focuses on the DOA (direction of arrival) tracking problem with uniform linear arrays. In the literature, there are two common approaches: one is to…”
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    Conference Proceeding