信号处理
信號處理
신호처리
SIGNAL PROCESSING
2014年
7期
766-776
,共11页
王世伟%胡笑浒%郑成诗%李晓东
王世偉%鬍笑滸%鄭成詩%李曉東
왕세위%호소호%정성시%리효동
双通道后滤波%能量差%相干性
雙通道後濾波%能量差%相榦性
쌍통도후려파%능량차%상간성
dual-channel post-filtering%power level difference%coherence
双通道能量差后滤波语音增强算法在语音通信系统的噪声抑制技术中有较好的应用前景,然而其理论性能和局限性还未得到充分研究。为此,本文采用统计分析方法研究了双通道能量差后滤波语音增强算法的性能,分析了相干性、平滑因子及噪声估计误差对算法的影响。理论和仿真结果表明,噪声估计误差和平滑因子严重影响该算法的降噪性能。依据此分析结果,本文提出一种基于非平稳噪声估计和功率谱自适应平滑的双通道能量差后滤波算法。测试结果表明,本文提出的算法在不增加语音失真的前提下,能更有效地抑制非平稳噪声,段信噪比提高(SegSNRI)和语音质量感知评估(PESQ)等客观评价指标都表明本文的算法优于其他几种经典的后滤波算法。
雙通道能量差後濾波語音增彊算法在語音通信繫統的譟聲抑製技術中有較好的應用前景,然而其理論性能和跼限性還未得到充分研究。為此,本文採用統計分析方法研究瞭雙通道能量差後濾波語音增彊算法的性能,分析瞭相榦性、平滑因子及譟聲估計誤差對算法的影響。理論和倣真結果錶明,譟聲估計誤差和平滑因子嚴重影響該算法的降譟性能。依據此分析結果,本文提齣一種基于非平穩譟聲估計和功率譜自適應平滑的雙通道能量差後濾波算法。測試結果錶明,本文提齣的算法在不增加語音失真的前提下,能更有效地抑製非平穩譟聲,段信譟比提高(SegSNRI)和語音質量感知評估(PESQ)等客觀評價指標都錶明本文的算法優于其他幾種經典的後濾波算法。
쌍통도능량차후려파어음증강산법재어음통신계통적조성억제기술중유교호적응용전경,연이기이론성능화국한성환미득도충분연구。위차,본문채용통계분석방법연구료쌍통도능량차후려파어음증강산법적성능,분석료상간성、평활인자급조성고계오차대산법적영향。이론화방진결과표명,조성고계오차화평활인자엄중영향해산법적강조성능。의거차분석결과,본문제출일충기우비평은조성고계화공솔보자괄응평활적쌍통도능량차후려파산법。측시결과표명,본문제출적산법재불증가어음실진적전제하,능경유효지억제비평은조성,단신조비제고(SegSNRI)화어음질량감지평고(PESQ)등객관평개지표도표명본문적산법우우기타궤충경전적후려파산법。
The dual-channel power-level-difference-based (PLD-based)post-filter estimator has a bright prospect of ap-plication in the noise reduction technology of voice communication systems,while its theoretical performance and limits are still not well studied.For this purpose,this paper studies the statistical properties of the PLD-based post-filter estimator. By this study,we reveal the impacts of the three parameters including the coherence,the smoothing factor and the noise es-timation error on the performance of the PLD-based post-filter estimator.Both theoretical results and simulation results indi-cate that the noise estimation error and the smoothing factor have significant impacts on the noise reduction performance of the traditional PLD-based post-filter estimator.According to these analysis results,a novel PLD-based post-filter estimator is proposed,which is based on the non-stationary noise estimation method and the adaptive smoothing power spectral densi-ty (PSD)estimation.Experimental results show that the proposed post-filter estimator could suppress more non-stationary noise components without introducing audible speech distortion.Moreover,the proposed algorithm performs better than oth-er state-of-the-art dual-channel post-filter estimators in terms of both the segmental signal-to-noise-ratio improvement (Seg-SNRI)and the perceptual evaluation of speech quality (PESQ)score.