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  • Speech enhancement of spectral magnitude bin trajectories using Gaussian mixture-model based minimum mean-square error estimators

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    84063_1.pdf (124.3Kb)
    Author(s)
    O'Connell, James
    Paliwal, Kuldip
    Wojcicki, Kamil
    Griffith University Author(s)
    Paliwal, Kuldip K.
    O'Connell, James
    Wojcicki, Kamil
    Year published
    2012
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    Abstract
    Gaussian mixture-model based minimum mean-square error estimators have been applied to speech enhancement in the temporal, transform (e.g., discrete cosine transform), and subspace domains. In this paper, we propose a method for applying a GMM-based MMSE estimator to spectral magnitude-bin trajectories. In addition, methods for incorporating speech presence uncertainty into the proposed system to improve performance are discussed. The proposed system outperforms previously published GMM-based estimators, and the well-known Ephraim and Malah estimator for 8 kHz telephone-quality speech.Gaussian mixture-model based minimum mean-square error estimators have been applied to speech enhancement in the temporal, transform (e.g., discrete cosine transform), and subspace domains. In this paper, we propose a method for applying a GMM-based MMSE estimator to spectral magnitude-bin trajectories. In addition, methods for incorporating speech presence uncertainty into the proposed system to improve performance are discussed. The proposed system outperforms previously published GMM-based estimators, and the well-known Ephraim and Malah estimator for 8 kHz telephone-quality speech.
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    Conference Title
    Proceedings of the 14th Australasian International Conference on Speech Science and Technology
    Volume
    54
    Issue
    2
    Publisher URI
    http://www.assta.org/?q=sst-conferences
    http://clas.mq.edu.au/sst2012/
    Copyright Statement
    © 2012 ASSTA. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the conference's website for access to the definitive, published version.
    Subject
    Signal Processing
    Publication URI
    http://hdl.handle.net/10072/50603
    Collection
    • Conference outputs

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