Dillier N, Frölich T, Kompis M, Bögli H, Lai W K
Department of Otorhinolaryngology, University Hospital, Zürich, Switzerland.
J Rehabil Res Dev. 1993;30(1):95-109.
Single-chip digital signal processors (DSPs) allow the flexible implementation of a large variety of speech analysis, synthesis, and processing algorithms for the hearing impaired. A series of experiments was carried out to optimize parameters of the adaptive beamformer noise reduction algorithm and to evaluate its performance in realistic environments with normal-hearing and hearing-impaired subjects. An experimental DSP system has been used to implement a multiband loudness correction (MLC) algorithm for a digital hearing aid. Speech tests in quiet and noise with 13 users of conventional hearing aids demonstrated significant improvements in discrimination scores with the MLC algorithm. Various speech coding strategies for cochlear implants were implemented in real time on a DSP laboratory speech processor. Improved speech discrimination performance was achieved with high-rate stimulation. Hybrid strategies incorporating speech feature detectors and complex decision algorithms are currently being investigated.
单芯片数字信号处理器（DSP）可灵活实现多种针对听力受损者的语音分析、合成及处理算法。开展了一系列实验，以优化自适应波束形成器降噪算法的参数，并评估其在有正常听力和听力受损受试者的现实环境中的性能。已使用一个实验性DSP系统为数字助听器实现了多频段响度校正（MLC）算法。对13名传统助听器使用者进行的安静和噪声环境下的语音测试表明，MLC算法使辨别分数有显著提高。在DSP实验室语音处理器上实时实现了各种用于人工耳蜗的语音编码策略。高速率刺激实现了更好的语音辨别性能。目前正在研究结合语音特征检测器和复杂决策算法的混合策略。
