基于音頻特征的收視率調(diào)查系統(tǒng)及檢索算法研究
發(fā)布時(shí)間：2019-03-08 13:24
【摘要】：收視率調(diào)查儀是繼傳統(tǒng)的問(wèn)卷調(diào)查收視率后發(fā)明的調(diào)查收視率的設(shè)備,在廣電部門普遍應(yīng)用,具有較高的研究?jī)r(jià)值。收視率調(diào)查結(jié)果對(duì)于電視臺(tái)更好的編排節(jié)目、廣告商適時(shí)投放廣告、收視群體更好地接收節(jié)目信息具有重要的指導(dǎo)意義。目前的收視率調(diào)查儀設(shè)備的原理多樣化,廣電部門應(yīng)用的設(shè)備成本較高,并且設(shè)備的可靠性有待提高。鑒于這種背景,本文研究了基于音頻特征的新型收視率調(diào)查設(shè)備及其相應(yīng)的音頻檢索方法。 本文首先簡(jiǎn)要介紹了收視率、收視率調(diào)查等的相關(guān)知識(shí),闡明了收視率調(diào)查的主要指標(biāo)、收視率調(diào)查的方法和意義,然后概述了當(dāng)前主要的收視率調(diào)查設(shè)備種類、原理及其存在的問(wèn)題,最后提出了本文研究重點(diǎn)和內(nèi)容---基于音頻特征的收視率調(diào)查系統(tǒng)和收視檢索算法,并闡述了音頻信號(hào)處理的方法和音頻檢索的主要技術(shù)。 基于音頻特征的收視率調(diào)查系統(tǒng),其整體架構(gòu)是由用戶端的音頻數(shù)據(jù)采集部分、中心端的數(shù)據(jù)處理部分以及兩者之間的通信模塊構(gòu)成,文中論述了這三部分的具體功能及實(shí)現(xiàn)時(shí)需要解決的問(wèn)題,并給出了可行的實(shí)施方案。 本文重點(diǎn)研究基于音頻特征收視率調(diào)查系統(tǒng)的有效的特征矢量和音頻檢索方法,以便降低設(shè)備的成本、提高設(shè)備的可用性和可靠性。本文設(shè)計(jì)的音頻特征是針對(duì)實(shí)際電視收看時(shí)音頻獲取中存在的問(wèn)題而改進(jìn)的音頻特征,采用通帶劃分技術(shù),并且剔除對(duì)高低音響敏感的通帶,同時(shí),采用歸一化方法避免不同音量對(duì)獲取的音頻特征的影響,從而獲得不受電視機(jī)音量、型號(hào)等影響的、有很好的魯棒性的音頻特征。進(jìn)而,建立模擬收視調(diào)查實(shí)驗(yàn)環(huán)境,利用MATLAB軟件,分析和研究了音頻特征的可靠性,以圖表方式給出實(shí)驗(yàn)結(jié)果。 本文設(shè)計(jì)的音頻檢索算法分兩步進(jìn)行,首先進(jìn)行相關(guān)性計(jì)算,計(jì)算待測(cè)音頻與音頻庫(kù)中相應(yīng)時(shí)間段的音頻的相關(guān)系數(shù),并采用閾值判定的方法,將相關(guān)系數(shù)小于閾值的音頻剔除；然后進(jìn)行歐氏距離比對(duì),將相關(guān)系數(shù)大于閾值的音頻繼續(xù)與音頻庫(kù)中相應(yīng)時(shí)間段的音頻進(jìn)行距離計(jì)算,取其距離最小者對(duì)應(yīng)的頻道號(hào)作為判別結(jié)果,同時(shí),采用多包數(shù)據(jù)判別方法,對(duì)用戶收看的每一頻道取兩到三包數(shù)據(jù),從而保證判別結(jié)果的準(zhǔn)確性。最后,本文對(duì)所提出的音頻檢索算法進(jìn)行了評(píng)估,驗(yàn)證其有效性。 作為一種新型收視率調(diào)查系統(tǒng),本文所取數(shù)據(jù)的特征均是建立在新建系統(tǒng)的基礎(chǔ)上,所取數(shù)據(jù)滿足數(shù)據(jù)量小、有效性高的特點(diǎn),從而能達(dá)到降低用戶端設(shè)備的復(fù)雜度、通訊花費(fèi)少以及簡(jiǎn)化中心端數(shù)據(jù)處理的復(fù)雜度等,且通訊模塊具有多模式接口,以滿足電話傳輸、無(wú)線傳輸及互聯(lián)網(wǎng)傳輸。論文最后對(duì)本文所做的工作進(jìn)行了總結(jié),并指出了今后改進(jìn)之處,以及下一步研究方向。
[Abstract]:Rating survey instrument is a kind of equipment invented after the traditional questionnaire survey. It is widely used in radio and television department and has high research value. The result of ratings survey is of great significance for TV stations to arrange programs better, advertisers to place advertisements in good time, and television groups to receive program information better. At present, the principle of rating survey equipment is diversified, the cost of equipment applied in radio and television department is high, and the reliability of equipment needs to be improved. In view of this background, this paper studies a new rating survey device based on audio features and its corresponding audio retrieval method. This paper first briefly introduces the relevant knowledge of ratings, ratings survey, etc., clarifies the main indicators of the ratings survey, the method and significance of the ratings survey, and then summarizes the main types of ratings survey equipment at present. At last, this paper puts forward the focus and content of this paper-the ratings survey system based on audio feature and the algorithm of ratings retrieval, and expounds the methods of audio signal processing and the main techniques of audio retrieval. The overall architecture of the ratings survey system based on audio features is composed of the audio data acquisition part at the user end, the data processing part at the central end and the communication module between the two. In this paper, the concrete functions of these three parts and the problems to be solved in their implementation are discussed, and the feasible implementation scheme is given. This paper focuses on the effective feature vector and audio retrieval methods based on the audio feature rating survey system in order to reduce the cost of the equipment and improve the availability and reliability of the equipment. The audio feature designed in this paper is an improved audio feature aiming at the problems existing in the audio acquisition of the actual TV viewing. The pass band division technology is adopted, and the pass bands sensitive to the high and low audio are eliminated. At the same time, The normalization method is used to avoid the influence of different volume on the acquired audio features, so that the audio features that are not affected by the volume and model of the TV set are obtained, and the audio features with good robustness are obtained. The reliability of audio characteristics is analyzed and studied by using MATLAB software, and the experimental results are given in the form of graph. The audio retrieval algorithm designed in this paper is carried out in two steps. First, the correlation calculation is carried out, and the correlation coefficients between the audio to be tested and the corresponding time period in the audio library are calculated, and the threshold decision method is adopted. The audio frequency whose correlation coefficient is less than the threshold value is eliminated; Then the Euclidean distance comparison is carried out, the audio frequency whose correlation coefficient is greater than the threshold value is continued to calculate the distance from the audio frequency of the corresponding time period in the audio library, and the channel number corresponding to the least distance is taken as the discriminant result, at the same time, By using the method of multi-packet data discrimination, two to three packets of data are taken for each channel watched by the user, so as to ensure the accuracy of the discrimination results. Finally, the proposed audio retrieval algorithm is evaluated to verify its effectiveness. As a new type of ratings survey system, the characteristics of the data taken in this paper are all based on the newly built system, and the data taken can meet the characteristics of small amount of data and high efficiency, thus reducing the complexity of the client-end equipment. Communications cost less and simplify the complexity of central data processing, and the communication module has multi-mode interface to meet the requirements of telephone transmission, wireless transmission and Internet transmission. Finally, the paper summarizes the work done in this paper, and points out the improvement in the future, as well as the future research direction.
【學(xué)位授予單位】：山東大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2011
【分類號(hào)】：TN912.3;TP391.3
，
本文編號(hào)：2436846
[Abstract]:Rating survey instrument is a kind of equipment invented after the traditional questionnaire survey. It is widely used in radio and television department and has high research value. The result of ratings survey is of great significance for TV stations to arrange programs better, advertisers to place advertisements in good time, and television groups to receive program information better. At present, the principle of rating survey equipment is diversified, the cost of equipment applied in radio and television department is high, and the reliability of equipment needs to be improved. In view of this background, this paper studies a new rating survey device based on audio features and its corresponding audio retrieval method. This paper first briefly introduces the relevant knowledge of ratings, ratings survey, etc., clarifies the main indicators of the ratings survey, the method and significance of the ratings survey, and then summarizes the main types of ratings survey equipment at present. At last, this paper puts forward the focus and content of this paper-the ratings survey system based on audio feature and the algorithm of ratings retrieval, and expounds the methods of audio signal processing and the main techniques of audio retrieval. The overall architecture of the ratings survey system based on audio features is composed of the audio data acquisition part at the user end, the data processing part at the central end and the communication module between the two. In this paper, the concrete functions of these three parts and the problems to be solved in their implementation are discussed, and the feasible implementation scheme is given. This paper focuses on the effective feature vector and audio retrieval methods based on the audio feature rating survey system in order to reduce the cost of the equipment and improve the availability and reliability of the equipment. The audio feature designed in this paper is an improved audio feature aiming at the problems existing in the audio acquisition of the actual TV viewing. The pass band division technology is adopted, and the pass bands sensitive to the high and low audio are eliminated. At the same time, The normalization method is used to avoid the influence of different volume on the acquired audio features, so that the audio features that are not affected by the volume and model of the TV set are obtained, and the audio features with good robustness are obtained. The reliability of audio characteristics is analyzed and studied by using MATLAB software, and the experimental results are given in the form of graph. The audio retrieval algorithm designed in this paper is carried out in two steps. First, the correlation calculation is carried out, and the correlation coefficients between the audio to be tested and the corresponding time period in the audio library are calculated, and the threshold decision method is adopted. The audio frequency whose correlation coefficient is less than the threshold value is eliminated; Then the Euclidean distance comparison is carried out, the audio frequency whose correlation coefficient is greater than the threshold value is continued to calculate the distance from the audio frequency of the corresponding time period in the audio library, and the channel number corresponding to the least distance is taken as the discriminant result, at the same time, By using the method of multi-packet data discrimination, two to three packets of data are taken for each channel watched by the user, so as to ensure the accuracy of the discrimination results. Finally, the proposed audio retrieval algorithm is evaluated to verify its effectiveness. As a new type of ratings survey system, the characteristics of the data taken in this paper are all based on the newly built system, and the data taken can meet the characteristics of small amount of data and high efficiency, thus reducing the complexity of the client-end equipment. Communications cost less and simplify the complexity of central data processing, and the communication module has multi-mode interface to meet the requirements of telephone transmission, wireless transmission and Internet transmission. Finally, the paper summarizes the work done in this paper, and points out the improvement in the future, as well as the future research direction.
【學(xué)位授予單位】：山東大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2011
【分類號(hào)】：TN912.3;TP391.3
，
本文編號(hào)：2436846
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