發(fā)布時間：2018-06-03 06:04

  本文選題：電子耳蝸 + 噪聲抑制��； 參考：《計算機應(yīng)用》2017年04期

【摘要】：針對外部強噪聲環(huán)境下電子耳蝸語音質(zhì)量受損、適應(yīng)性差等問題,提出了基于譜減法和變步長最小均方誤差(LMS)自適應(yīng)濾波算法聯(lián)合去噪的改進方法,并以該方法構(gòu)建了一個電子耳蝸前端語音預(yù)處理系統(tǒng)。利用變步長LMS自適應(yīng)濾波算法輸出誤差的平方項來調(diào)節(jié)步長,采用步長值固定與變化相結(jié)合的方法,解決了自適應(yīng)濾波算法收斂速度慢、穩(wěn)態(tài)誤差大的問題,適應(yīng)性得到提高,提高了語音信號通信質(zhì)量。該系統(tǒng)以TMS320VC5416和音頻編解碼芯片TLV320AIC23B為核心,通過多通道緩沖串口(McBSP)和串行外設(shè)接口(SPI)實現(xiàn)了語音數(shù)據(jù)的高速采集和實時處理。實驗仿真和測試結(jié)果表明該算法消除噪聲性能好,信噪比在低輸入信噪比情況下提高約10 d B,語音質(zhì)量感知評價(PESQ)分值也得到較大提高,能有效提高語音信號質(zhì)量,且該系統(tǒng)性能穩(wěn)定,能進一步提高耳蝸前端語音的清晰度和可懂度。
[Abstract]:Aiming at the problems of damaged speech quality and poor adaptability of cochlear speech in the environment of strong external noise, an improved method based on spectrum subtraction and variable step size minimum mean square error (LMS) adaptive filtering algorithm is proposed. A speech preprocessing system for cochlear front end was constructed by this method. The variable step size LMS adaptive filtering algorithm is used to adjust the step size by using the square term of output error. The adaptive filtering algorithm solves the problem of slow convergence speed and large steady-state error, and improves the adaptability of the adaptive filtering algorithm. The communication quality of voice signal is improved. The system takes TMS320VC5416 and TLV320AIC23B as the core, and realizes the high-speed acquisition and real-time processing of voice data through multi-channel buffering serial port (McBSP) and serial peripheral interface (SPI). Experimental simulation and test results show that the proposed algorithm has good noise cancellation performance, the SNR is increased by about 10 dB under low input SNR, and the score of speech quality perception evaluation (PESQ) is also greatly improved, which can effectively improve the quality of speech signal. The system has stable performance and can further improve the articulation and intelligibility of cochlear front end speech.
【作者單位】： 天津商業(yè)大學(xué)信息工程學(xué)院;
【基金】：國家自然科學(xué)基金資助項目(61401307) 天津市應(yīng)用基礎(chǔ)與前沿技術(shù)研究計劃項目(14JCZDJC32600) 天津商業(yè)大學(xué)青年科研基金資助項目(150111) 國家級大學(xué)生創(chuàng)新創(chuàng)業(yè)訓(xùn)練計劃項目(201610069085)~~
【分類號】：TN912.35

【相似文獻】

相關(guān)期刊論文 前8條

1 宮琴;陳文王;劉京雷;;電子耳蝸調(diào)試平臺的教學(xué)實驗系統(tǒng)研制[J];實驗技術(shù)與管理;2013年12期

2 滕小蘭;鄭小林;侯文生;廖彥劍;;一種基于MSP430的電子耳蝸接收刺激器設(shè)計[J];傳感器與微系統(tǒng);2009年01期

3 王瑜琳;田學(xué)隆;;一種改進的電子耳蝸語音增強算法及其數(shù)字信號處理實現(xiàn)[J];生物醫(yī)學(xué)工程學(xué)雜志;2014年04期

4 呂q，

本文編號：1971747