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Digital Signal Processing for Hearing Instruments

  1. In contemporary cochlear implant systems, the audio signal is decomposed into different frequency bands, each assigned to one electrode. Thus, pitch perception is limited by the number of physical electrodes i...

    Authors: Waldo Nogueira, Leonid Litvak, Bernd Edler, Jörn Ostermann and Andreas Büchner
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:531213
  2. Sound classifiers embedded in digital hearing aids are usually designed by using sound databases that do not include the distortions associated to the feedback that often occurs when these devices have to work...

    Authors: Lucas Cuadra, Enrique Alexandre, Roberto Gil-Pita, Raúl Vicen-Bueno and Lorena Álvarez
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:465189
  3. In this contribution we present a method to design prototype filters of oversampling uniform complex-modulated FIR filter bank pairs. Especially, we present a noniterative two-step procedure: (i) design of ana...

    Authors: Thomas Kurbiel, Heinz G Göckler and Daniel Alfsmann
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:692861
  4. The feasible implementation of signal processing techniques on hearing aids is constrained by the finite precision required to represent numbers and by the limited number of instructions per second to implemen...

    Authors: Roberto Gil-Pita (EURASIP Member), Enrique Alexandre, Lucas Cuadra (EURASIP Member), Raúl Vicen and Manuel Rosa-Zurera (EURASIP Member)
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:456945
  5. The benefit of using external acoustic sensor nodes for noise reduction in hearing aids is demonstrated in a simulated acoustic scenario with multiple sound sources. A distributed adaptive node-specific signal...

    Authors: Alexander Bertrand and Marc Moonen
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:530435
  6. Hearing aid users have difficulty hearing target signals, such as speech, in the presence of competing signals or noise. Most solutions proposed to date enhance or extract target signals from background noise ...

    Authors: L. A. Drake, J. C. Rutledge, J. Zhang and A. Katsaggelos (EURASIP Member)
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:403681
  7. Temporal envelope (TE) cues provide a great deal of speech information. This paper explores how spectral subtraction and dynamic-range compression gain modifications affect TE fluctuations for parallel and ser...

    Authors: Melinda C. Anderson, Kathryn H. Arehart and James M. Kates
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:619805
  8. A concept and architecture of a personal communication system (PCS) is introduced that integrates audio communication and hearing support for the elderly and hearing-impaired through a personal hearing system ...

    Authors: Giso Grimm, Gwénaël Guilmin, Frank Poppen, Marcel S.M.G. Vlaming and Volker Hohmann
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:591921
  9. Recently, hearing aid systems where the left and right ear devices collaborate with one another have received much attention. Apart from supporting natural binaural hearing, such systems hold great potential f...

    Authors: Sriram Srinivasan and Albertus C. den Brinker
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:257197
  10. Users of cochlear implants (CIs) vary widely in their ability to recognize speech in noisy conditions. There are many factors that may influence their performance. We have investigated to what degree it can be...

    Authors: Svante Stadler and Arne Leijon
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:175243
  11. An eight-channel database of head-related impulse responses (HRIRs) and binaural room impulse responses (BRIRs) is introduced. The impulse responses (IRs) were measured with three-channel behind-the-ear (BTEs)...

    Authors: H. Kayser, S. D. Ewert, J. Anemüller, T. Rohdenburg, V. Hohmann and B. Kollmeier
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:298605
  12. A multi-channel noise reduction technique is presented based on a Speech Distortion-Weighted Multi-channel Wiener Filter (SDW-MWF) approach that incorporates the conditional Speech Presence Probability (SPP). ...

    Authors: Kim Ngo, Ann Spriet, Marc Moonen, Jan Wouters and Søren Holdt Jensen
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:930625
  13. A new block-based noise reduction system is proposed which focuses on the preservation of transient sounds like stops or speech onsets. The power level of consonants has been shown to be important for speech i...

    Authors: Dirk Mauler and Rainer Martin
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:469480
  14. A new system for single-channel speech enhancement is proposed which achieves a joint suppression of late reverberant speech and background noise with a low signal delay and low computational complexity. It is...

    Authors: Heinrich W. Löllmann (EURASIP Member) and Peter Vary
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:437807
  15. Hearing instrument verification involves measuring the performance of noise reduction systems. Synthetic stimuli are proposed as test signals, because they can be tailored to the parameter space of the noise r...

    Authors: Jesko G. Lamm, Anna K. Berg and Christian G. Glück
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:876371
  16. We study a system combining adaptive feedback cancellation and adaptive filtering connecting inputs from both ears for signal enhancement in hearing aids. For the first time, such a binaural system is analyzed...

    Authors: Anthony Lombard, Klaus Reindl and Walter Kellermann
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:968345