Báo cáo hóa học: Editorial Simon Doclo Department of Electrical Engineering (ESAT-SCD)

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Báo cáo hóa học: " Editorial Simon Doclo Department of Electrical Engineering (ESAT-SCD)"EURASIP Journal on Applied Signal Processing 2005:18, 2911–2914 c 2005 Hindawi Publishing CorporationEditorial Simon Doclo Department of Electrical Engineering (ESAT-SCD), Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, 3001 Leuven, Belgium Email: simon.doclo@esat.kuleuven.be Søren Holdt Jensen Department of Communication Technology, Institute of Electronic Systems, Aalborg University, Fredrik Bajers Vej 7A, 9220 Aalborg, Denmark Email: shj@kom.aau.dk Philippe A. Pango Gennum Corporation, P.O. Box 489, Station A, Burlington, ON, Canada L7R 3Y3 Email: philip p@gennum.com Søren K. Riis Oticon A/S, Kongebakken 9, 2765 Smoerum, Denmark Email: skr@oticon.dk Jan Wouters Exp. ORL, Department of Neurosciences, Katholieke Universiteit Leuven, O&N, Herestraat 49, bus 721, 3000 Leuven, Belgium Email: jan.wouters@med.kuleuven.be Digital signal processing for hearing aids was initiated as such sound processing strategies poses additional signal pro-a topic of research in the mid-late 1980s. However, it was cessing challenges, but at the same time builds on knowledgenot until 1995 that the technology matured to a level where acquired through physiological and psychophysical studies.small-size and low-power consumption allowed the market This special issue on DSP in Hearing Aids and Cochlearintroduction of hearing aids with full digital signal process- Implants gathers 15 articles. It reflects aspects of the mul-ing capabilities. tiple disciplines necessary for the treatment of hearing im- Today, 83% of hearing aids sold worldwide are digital. pairment. Indeed, the included papers address a variety ofAdvanced packaging technologies enable hearing aids that fit methods and algorithms, all related to the research in sig-completely in the ear canal, and the introduction of truly nal processing for hearing aids and cochlear implants. It isprogrammable platforms has allowed the development of clear from the submissions that through the years, the inclu-advanced digital signal processing algorithms that provide sion of perception in signal processing and the developmentthe hearing-impaired user a natural sound picture with in- of psychoacoustically motivated signal processing algorithmscreased speech intelligibility and comfort. are becoming more and more relevant and important, as in Modern cochlear implant systems are capable of far more other domains of audio processing.advanced processing than before. Whereas cochlear implants The papers in this issue are organized according to theadopted digital technology prior to hearing aids, it is only topic of research, since some of these contributions are ap-until very recently that they have integrated some special- plicable to both hearing aids and cochlear implants. Theized algorithms such as adaptive noise reduction. A cochlear most frequent themes are speech intelligibility, speech en-implant needs, in addition, a speech processing strategy that hancement and noise suppression (6 papers), and new signalconverts the acoustical signal into electrical signals to be ap- processing developments in filterbanks and compression al-plied to the electrodes placed in the cochlea. The design of gorithms implementation (4 papers). Furthermore the issue2912 EURASIP Journal on Applied Signal Processingpresents 5 contributions from various research domains such traction attenuation rule in time-frequency regions whereas auditory scene analysis for classification of input sounds, speech is present and a constant attenuation rule in regionsa new cochlear implant processing strategy, a versatile re- where speech is absent. The proposed speech detection tech-search platform for cochlear implant research, a new wire- nique provides smoothly connected time-frequency regionsless link between the external and internal cochlear implant in a perceptually functional way and enables a new bias com-parts, and blind source separation. pensation method for minimum-statistics-based noise esti- “Signal processing in high-end hearing aids: state of the mation. Listening tests show that the proposed method pro-art, challenges, and future trends” (V. Hamacher et al.) pro- duces a higher mean opinion score than minimum mean-vides a discussion of signal processing in modern hearing square error log-spectral amplitude (MMSE-LSA) speech en-aids. The authors distinguish between two types of algo- hancement methods.rithms: those that aim at compensating the hearing loss and The paper “A block-based linear MMSE noise reductionimproving hearing ability and those that aim at compensat- with a high temporal resolution modeling of the speech ex-ing side effects of hearing aids. The former category com- citation” (C. Li and S. V. Andersen) proposes a method forprises, for example, amplification strategies, noise reduction, single-channel speech enhancement. The method is basedand directional (beamformer) systems, whereas the latter on an all-pole model of speech production and estimatescomprises, for example, acoustic feedback cancellation and the clean speech spectral envelope and LPC residual sep-automatic control of the signal processing in ...