本文選題：去混響 + 復(fù)倒譜�。� 參考：《蘭州交通大學(xué)》2017年碩士論文

【摘要】：日常生活中,在一些比較密閉的室內(nèi)空間里,當(dāng)使用電話機(jī)、助聽器、手機(jī)等設(shè)備時(shí),聲源距離聲音接收器的位置較遠(yuǎn)時(shí)會(huì)產(chǎn)生強(qiáng)烈的混響現(xiàn)象,混響的存在導(dǎo)致語音的各音節(jié)間出現(xiàn)掩蔽效應(yīng),嚴(yán)重影響了聽覺效果。語音信號的去混響處理作為語音增強(qiáng)的一個(gè)重要組成部分,同時(shí)為語音合成、聲源定位、語音識別等語音信號處理提供前期預(yù)處理。此外,語音信號去混響相關(guān)技術(shù)還可廣泛的應(yīng)用于建筑聲學(xué)、振動(dòng)聲學(xué)、地震數(shù)據(jù)分析、生物醫(yī)學(xué)、雷達(dá)聲吶等其它方面。下面就是本文研究工作的主要內(nèi)容:首先,分析了混響的產(chǎn)生、數(shù)學(xué)模型和特征參數(shù)等理論,并研究了語音去混響性能的評測指標(biāo),包括兩種主觀評測指標(biāo)和三種客觀評測指標(biāo)。同時(shí)大量的仿真實(shí)驗(yàn)證明:兩種頻域客觀評測方法比時(shí)域客觀評測方法更適用于反映主觀感受。其次,分析了復(fù)倒譜的相關(guān)理論,并在單通道的混響條件下,分別研究了復(fù)倒譜域?yàn)V波的語音去混響方法、基于最小相位分解的語音去混響方法和復(fù)倒譜盲解卷積的語音去混響方法,并對這三種方法進(jìn)行了仿真分析。最后,針對單麥克風(fēng)語音去混響技術(shù)僅利用時(shí)域和頻域信息,而可利用的空間信息有限,很難取得較好的去混響效果,本文研究了麥克風(fēng)陣列的語音去混響技術(shù),并將波束形成技術(shù)與其它單通道語音去混響技術(shù)相結(jié)合。首先研究了基于固定波束形成的DSB語音去混響方法和基于自適應(yīng)波束形成的TF-GSC語音去混響方法,并對DSB和TF-GSC方法進(jìn)行仿真分析,針對它們對加性噪聲和波束方向上混響的良好抑制效果,將DSB與復(fù)倒譜盲解卷積技術(shù)相結(jié)合,得到更有效的去混響方法。將TF-GSC與最小相位分解技術(shù)相結(jié)合,并針對基于TF-GSC和最小相位分解的語音去混響方法計(jì)算量較大的問題,分析了改進(jìn)的基于TF-GSC和最小相位分解的語音去混響方法,該方法利用一路麥克風(fēng)采集的混響語音的相位來替代全通分量的相位信息以減少運(yùn)算量。并通過對仿真結(jié)果的比較,波束形成技術(shù)與其他單通道語音去混響方法相結(jié)合的方法獲得了很好的去混響效果。
[Abstract]:In everyday life, in some relatively closed indoor spaces, when the telephone, hearing aid, mobile phone and other devices are used, the sound source will produce a strong reverberation phenomenon when the sound source is farther away from the sound receiver. The presence of reverberation leads to the masking effect between syllables, which seriously affects the auditory effect. As an important part of speech enhancement, the dereverberation of speech signal provides preprocessing for speech signal processing, such as speech synthesis, sound source location, speech recognition and so on. In addition, speech signal de-reverberation correlation technology can be widely used in building acoustics, vibration acoustics, seismic data analysis, biomedical, radar sonar and other aspects. The following is the main content of this paper: firstly, the theory of reverberation, mathematical model and characteristic parameters are analyzed, and the evaluation index of speech dereverberation performance is studied. Including two subjective evaluation indicators and three objective evaluation indicators. At the same time, a large number of simulation experiments show that the two frequency domain objective evaluation methods are more suitable to reflect subjective feelings than time domain objective evaluation methods. Secondly, the related theory of complex cepstrum is analyzed, and under the condition of single channel reverberation, the speech de-reverberation method in complex cepstrum domain filtering is studied respectively. The speech de-reverberation method based on minimum phase decomposition and the speech de-reverberation method based on complex cepstrum blind deconvolution are analyzed by simulation. Finally, the single microphone speech de-reverberation technology only uses the time and frequency domain information, but the available spatial information is limited, so it is very difficult to achieve good reverberation effect. In this paper, the speech de-reverberation technology of microphone array is studied. The beamforming technology is combined with other single channel speech de-reverberation technology. Firstly, the DSB speech de-reverberation method based on fixed beamforming and the TF-GSC speech de-reverberation method based on adaptive beamforming are studied, and the DSB and TF-GSC methods are simulated and analyzed. In view of their good suppression effect on additive noise and reverberation in beam direction, a more effective de-reverberation method is obtained by combining DSB with blind deconvolution of complex cepstrum. This paper combines TF-GSC with minimum phase decomposition, and analyzes the improved speech de-reverberation method based on TF-GSC and minimum phase decomposition, aiming at the problem of large computation of speech de-reverberation method based on TF-GSC and minimum phase decomposition. This method uses the phase of reverberation speech collected by a microphone to replace the phase information of the all-pass component to reduce the computation. By comparing the simulation results, the beamforming technique combined with other single-channel speech de-reverberation methods has achieved a good reverberation effect.
【學(xué)位授予單位】：蘭州交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TN912.3

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 查雪琴;;室內(nèi)低頻混響時(shí)間特性探討[J];聲學(xué)技術(shù);2016年05期

2 趙益波;徐進(jìn);阮瑋琪;蔣yN;;一種改進(jìn)GSC自適應(yīng)語音增強(qiáng)方法[J];科技通報(bào);2016年09期

3 吳禮福;王華;程義;郭業(yè)才;;一種基于最大似然的混響時(shí)間盲估計(jì)方法[J];應(yīng)用聲學(xué);2016年04期

4 劉敏;曾毓敏;張銘;李晨;;基于二次相關(guān)的語音信號時(shí)延估計(jì)改進(jìn)算法[J];應(yīng)用聲學(xué);2016年03期

5 戴紅霞;趙力;;基于麥克風(fēng)陣列的數(shù)字助聽器語音增強(qiáng)技術(shù)[J];電子器件;2015年03期

6 徐進(jìn);趙益波;郭業(yè)才;;一種新的麥克風(fēng)陣列自適應(yīng)語音增強(qiáng)方法[J];應(yīng)用科學(xué)學(xué)報(bào);2015年02期

7 程志偉;;語音清晰度和平均混響時(shí)間在車內(nèi)聲學(xué)的應(yīng)用[J];應(yīng)用聲學(xué);2014年06期

8 趙紅;李雙田;;改進(jìn)的多級線性預(yù)測晚期混響抑制算法[J];信號處理;2014年06期

9 王曉飛;姜開宇;國雁萌;付強(qiáng);顏永紅;;基于空間聲場擴(kuò)散信息的混響抑制方法[J];清華大學(xué)學(xué)報(bào)(自然科學(xué)版);2013年06期

10 孔榮;吳迪;廖啟鵬;朱俊杰;周強(qiáng);陶智;;采用復(fù)倒譜峰值濾波GMM識別混響語音[J];計(jì)算機(jī)工程與應(yīng)用;2014年15期

相關(guān)碩士學(xué)位論文 前3條

1 彭雯雯;語音信號中混響消除算法研究[D];大連理工大學(xué);2013年

2 行鵬程;房間混響消除的方法研究[D];沈陽理工大學(xué);2013年

3 廖啟鵬;基于Gammatone聽覺濾波器組和復(fù)倒譜盲解卷積的語音去混響研究[D];蘇州大學(xué);2012年

，

本文編號：1779966