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A Hearing Device With an Adaptive Noise Canceller for Noise-Robust Voice Input

机译:带有自适应降噪器的助听器,用于强噪声语音输入

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This paper presents a hearing device with an adaptive noise canceller for noise-robust voice input. The hearing device has an inner-ear and an outer-ear microphone to collect ear-canal speech signal and the outer-ear environmental signal, respectively. The environmental signal drives an adaptive filter to generate a noise replica which is subtracted from the inner-ear microphone signal to cancel the noise. Coefficients of the adaptive filter are updated by an NLMS (normalized least mean square) algorithm with an SNR-controlled stepsize for small speech distortion. The adaptive noise canceller is realized on a digital signal processor chip with 39 McPS (million cycles per second) for 64 taps. Evaluation results in speech recognition show that a word recognition rate of 89 & x0025; is achieved when the noise level is 80 dBA with 38 & x0025; improvement over the inner-ear signal without adaptive noise cancellation. DSP (digital signal processor) implementation details and two prototype devices demonstrate high feasibility.
机译:本文提出了一种带有自适应噪声消除器的听力设备,用于噪声鲁棒的语音输入。听力装置具有内耳和外耳麦克风,以分别收集耳道语音信号和外耳环境信号。环境信号驱动自适应滤波器以生成噪声副本,该噪声副本从内耳麦克风信号中减去以消除噪声。自适应滤波器的系数由NLMS(归一化最小均方)算法更新,该算法具有SNR控制的步长以减小语音失真。自适应噪声消除器在数字信号处理器芯片上实现,可实现64抽头的39 McPS(每秒百万次循环)。语音识别的评估结果表明,单词识别率为89&x0025;当噪声水平为80 dBA且采用38&x0025时可实现;无需自适应噪声消除的内耳信号改善。 DSP(数字信号处理器)的实现细节和两个原型设备证明了很高的​​可行性。

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