A Novel Signal-Processing Strategy Based on Bark Wavelet Transform for Cochlear Implants

A Novel Signal-Processing Strategy Based on Bark Wavelet Transform for Cochlear Implants

Cochlear implant is one of the most promising medical applications aiming to utmost restore deaf patients hearing. How to improve voice quality by using effectively algorithms has become a bottleneck. In our research, a new speech signal processing scheme is given based on Bark Wavelet Transform (BW...

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Bibliographische Detailangaben
Hauptverfasser: Yan Shen, Zhi Tao, Ji-Hua Gu, Xiao-Jun Zhang, Jun-Jie Zhu
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Auditory system
Bark Wavelet Transform
Cochlear implant
Filter banks
Frequency modulation
Modulation
Pitch frequency
Speech
Time frequency analysis
Wavelet transforms
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Beschreibung
Zusammenfassung:Cochlear implant is one of the most promising medical applications aiming to utmost restore deaf patients hearing. How to improve voice quality by using effectively algorithms has become a bottleneck. In our research, a new speech signal processing scheme is given based on Bark Wavelet Transform (BWT). This signal-processing strategy can non-uniformly separates the time-frequency space, which is similar with human auditory physiology. By simulating the Matlab simulation, we clearly confirm that the strategy of this paper shows a better performance while comparing to CIS strategy.
DOI:10.1109/IWCDM.2011.10