Strasser, F. ; Puder, H. (2014)
Sub-band feedback cancellation with variable step sizes for music signals in hearing aids.
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2014. Florenz, Italien
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Standard adaptive feedback cancellation algorithms in hearing aids suffer from a biased adaptation if the input signal is spectrally colored, as it is for tonal signals, like music. Due to that, distortion artifacts (entrainment) are generated. In this paper, a sub-band feedback cancellation system is presented combined with an adaptation control to deal with those signals. Two control concepts for determining the variable step sizes [1, 2], known from general adaptive filter algorithms, are theoretically and practically analyzed and evaluated for an application to feedback cancellation. For feedback cancellation the control is combined with known methods to reduce the bias, such as prediction error filtering or frequency shifting. Based on this combination, a completely new setup for feedback cancellation is proposed. It relies entirely on signals accessible in real systems, shows a low computational complexity, and therefore has a strong practical relevance.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2014 |
| Autor(en): | Strasser, F. ; Puder, H. |
| Art des Eintrags: | Bibliographie |
| Titel: | Sub-band feedback cancellation with variable step sizes for music signals in hearing aids |
| Sprache: | Englisch |
| Publikationsjahr: | Mai 2014 |
| Veranstaltungstitel: | IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2014 |
| Veranstaltungsort: | Florenz, Italien |
| URL / URN: | http://ieeexplore.ieee.org/abstract/document/6855201/ |
| Kurzbeschreibung (Abstract): | Standard adaptive feedback cancellation algorithms in hearing aids suffer from a biased adaptation if the input signal is spectrally colored, as it is for tonal signals, like music. Due to that, distortion artifacts (entrainment) are generated. In this paper, a sub-band feedback cancellation system is presented combined with an adaptation control to deal with those signals. Two control concepts for determining the variable step sizes [1, 2], known from general adaptive filter algorithms, are theoretically and practically analyzed and evaluated for an application to feedback cancellation. For feedback cancellation the control is combined with known methods to reduce the bias, such as prediction error filtering or frequency shifting. Based on this combination, a completely new setup for feedback cancellation is proposed. It relies entirely on signals accessible in real systems, shows a low computational complexity, and therefore has a strong practical relevance. |
| Freie Schlagworte: | acoustic signal processing;adaptive filters;feedback;hearing aids;medical signal processing;adaptation control;adaptive feedback cancellation algorithms;biased adaptation;distortion artifacts;entrainment;frequency shifting;general adaptive filter algorithms;hearing aids;music signals;prediction error filtering;subband feedback cancellation system;tonal signals;Acoustics;Frequency control;Hearing aids;Multiple signal classification;Signal processing;Signal processing algorithms;Speech;Adaptive feedback cancellation;NLMS filter adaptation;adaptation control;hearing aids |
| Fachbereich(e)/-gebiet(e): | Exzellenzinitiative > Graduiertenschulen > Graduate School of Computational Engineering (CE) Exzellenzinitiative > Graduiertenschulen Exzellenzinitiative |
| Hinterlegungsdatum: | 27 Feb 2017 13:31 |
| Letzte Änderung: | 27 Feb 2017 13:31 |
| PPN: | |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
 |
Frage zum Eintrag |
Optionen (nur für Redakteure)
 |
Redaktionelle Details anzeigen |
Drucken
Impressum