本文選題：聲源定位 + 麥克風陣列�。� 參考：《蘭州理工大學》2014年碩士論文

【摘要】：智能服務機器人是在非結構環(huán)境下為人類提供必要服務的多種高技術集成的智能化裝備,具有多種功能,其中聽覺就是重要標志之一,是機器與人以及環(huán)境之間重要的交互手段。在現(xiàn)實環(huán)境中,聽覺可以實現(xiàn)360°的“聽覺場景”,它可以搜索到不在可視范圍內(nèi)的聲源目標。也就是說,聽覺能夠搜索定位出由于物體遮擋而產(chǎn)生模糊的目標,或者位于轉角處的聲源目標。雖然,相較于視覺,對它的研究依然處在前期階段。但是,近些年來對聽覺的研究已經(jīng)成為一個重要課題,基于聽覺的聲源定位更是一個新的研究熱點。 基于聽覺的聲源定位,即由麥克風陣列拾取語音信號,繼而通過對信號的處理,進一步確定聲源的位置,這在語音信號處理領域已是一個研究熱點,具有重要應用前景和實際意義。本論文學習研究基于麥克風陣列的聲源定位技術的原理及特點,主要進行了以幾方面的下工作： 首先,對采用麥克風陣列進行聲源定位的研究現(xiàn)狀以及定位原理進行了總體概述,論述了基于麥克風陣列聲源定位的三大技術,并總結了在定位過程中所遇到的難點,主要介紹研究了基于到達時間延時的定位技術。 其次,基于到達時間延時的定位算法很多,本文對其中的廣義互相關算法進行了研究,針對定位過程中存在的噪聲影響,提出了一種改進的互功率譜相位加權算法。該算法運算量少,經(jīng)實驗證明,在強噪聲環(huán)境下該算法具有較好的定位性能。 最后,本論文以Lab VIEW軟件為開發(fā)平臺驅動北京雙諾公司的MP420采集卡,設計采集程序實現(xiàn)實際環(huán)境中語音信號實時采集和存儲。利用Matlab軟件對采集到的數(shù)據(jù)結合本論文提出的改進算法進行仿真驗證。實驗證明,該算法能更精確的實現(xiàn)聲源的定位。
[Abstract]:Intelligent service robot is a kind of high-tech integrated intelligent equipment which can provide essential services to human beings in non-structural environment. It has many functions, among which hearing is one of the important symbols. It is an important means of interaction between machines and people as well as environment. In real environment, hearing can achieve 360 擄"auditory scene", which can search the target of sound source which is not in visual range. That is to say, the hearing can search for the target which is blurred by the object occlusion, or the sound source target located at the corner. Although, compared to vision, the study of it is still in the early stages. However, in recent years, auditory research has become an important issue, auditory sound source location is a new research hotspot. Acoustic source location based on hearing, that is, pick up speech signal by microphone array, and then determine the position of sound source through signal processing, which has become a research hotspot in the field of speech signal processing. It has important application prospect and practical significance. This paper studies the principle and characteristics of sound source location technology based on microphone array. First of all, the research status and principle of sound source location using microphone array are summarized, three technologies based on microphone array sound source location are discussed, and the difficulties encountered in the positioning process are summarized. This paper mainly introduces the localization technology based on time delay of arrival. Secondly, there are many localization algorithms based on time-of-arrival delay. In this paper, the generalized cross-correlation algorithm is studied, and an improved cross-power spectrum phase weighting algorithm is proposed to deal with the influence of noise in the localization process. Experimental results show that the algorithm has good localization performance in strong noise environment. Finally, this paper uses Lab VIEW software as the development platform to drive the MP420 acquisition card of Beijing Shuangnuo Company, and designs a collection program to realize the real-time acquisition and storage of voice signals in the actual environment. The Matlab software is used to simulate the collected data and the improved algorithm proposed in this paper. Experimental results show that the algorithm can more accurately achieve sound source location.
【學位授予單位】：蘭州理工大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN912.3

【參考文獻】

相關期刊論文 前10條

1 李從清;孫立新;戴士杰;李洙梁;;機器人聽覺定位跟蹤聲源的研究與進展[J];燕山大學學報;2009年03期

2 孟玲玲;孫常棟;王曉東;;基于噪聲子空間分解MUSIC函數(shù)的諧波/間諧波檢測算法[J];電力自動化設備;2012年02期

3 唐小明;吳昊;劉志坤;;基于廣義互相關算法的時延估計研究[J];電聲技術;2009年08期

4 戎曉政;劉加;;聲源定位中的時延估計方法研究[J];電聲技術;2010年02期

5 陳凌穎;楊世武;;鐵路視頻監(jiān)控中基于多算法結合的圖像拼接[J];電子測量與儀器學報;2012年03期

6 路青起;白燕燕;;基于雙門限兩級判決的語音端點檢測方法[J];電子科技;2012年01期

7 金乃高;殷福亮;陳U，

本文編號：1811433