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面向可穿戴計(jì)算機(jī)音頻的環(huán)境感知系統(tǒng)的研究

發(fā)布時(shí)間:2018-02-21 08:48

  本文關(guān)鍵詞: 可穿戴計(jì)算機(jī) 聲音識(shí)別 環(huán)境感知 HMM 出處:《哈爾濱工業(yè)大學(xué)》2014年碩士論文 論文類型:學(xué)位論文


【摘要】:隨著計(jì)算機(jī)性能的不斷更新升級(jí),個(gè)人計(jì)算機(jī)已經(jīng)逐漸向小型化微型化發(fā)展,可穿戴計(jì)算機(jī)就是微型計(jì)算機(jī)的一個(gè)重要代表可穿戴計(jì)算目前已經(jīng)成為了各大互聯(lián)網(wǎng)企業(yè)研究的熱點(diǎn),各自都推出了相關(guān)的可穿戴計(jì)算產(chǎn)品,比較典型的有Google的智能眼鏡ξProject Glassο,三星的智能手表ξGalaxy Gearο,這些產(chǎn)品目前都以上市另外在一些專業(yè)領(lǐng)域也有許多可穿戴計(jì)算的產(chǎn)品,特別是在醫(yī)療和軍事領(lǐng)域 聲音作為自然界傳播信息的重要媒介,,它給人們帶來大量的關(guān)于環(huán)境的信息聲音識(shí)別技術(shù)在的可穿戴計(jì)算機(jī)上的應(yīng)用,符合可穿戴計(jì)算機(jī)發(fā)展的方向,即突出增強(qiáng)人的能力及輔助人的生產(chǎn)活動(dòng)聲音識(shí)別技術(shù)的應(yīng)用增強(qiáng)了人的聽覺能力,同時(shí)在分析音頻信號(hào)時(shí)反饋出發(fā)聲物體的信息在有聯(lián)網(wǎng)功能的可穿戴計(jì)算機(jī)上,每臺(tái)可穿戴計(jì)算機(jī)可作為網(wǎng)絡(luò)中的節(jié)點(diǎn),將采集的信息通過網(wǎng)絡(luò)中心同其他節(jié)點(diǎn)進(jìn)行共享,并由中心整合分析大范圍環(huán)境的信息,為可穿戴計(jì)算機(jī)增添環(huán)境感知的功能 本文查閱了國(guó)內(nèi)外相關(guān)研究的大量文獻(xiàn),對(duì)可穿戴計(jì)算機(jī)及聲音識(shí)別領(lǐng)域的發(fā)展和現(xiàn)狀進(jìn)行了解,分析了聲音信號(hào)與語音信號(hào)的不同,確定了開發(fā)聲音識(shí)別系統(tǒng)的技術(shù)基礎(chǔ)和框架要求通過研究聲音識(shí)別理論,提出了聲音信號(hào)的預(yù)處理特征提取和基于HMM模型的識(shí)別技術(shù),并根據(jù)可穿戴計(jì)算機(jī)的特點(diǎn),結(jié)合環(huán)境感知的目的,確定適用的聲音識(shí)別過程整個(gè)系統(tǒng)的框架結(jié)構(gòu)及各模塊的功能和設(shè)計(jì)本系統(tǒng)采用跨平臺(tái)的C++圖形用戶界面應(yīng)用程序Qt實(shí)現(xiàn)各模塊功能的開發(fā),完成系統(tǒng)的整合最后測(cè)試了系統(tǒng)的實(shí)際使用情況,對(duì)系統(tǒng)的性能進(jìn)行分析,總結(jié)了系統(tǒng)的可取之處以及還需要改進(jìn)的地方
[Abstract]:With the continuous updating and upgrading of computer performance, personal computers have gradually moved towards miniaturization. Wearable computer is an important representative of microcomputer wearable computing has become a hot spot in the research of various Internet enterprises, each of which has introduced related wearable computing products. Typical of them are Google's smart glasses 尉 Project Glass o, Samsung's smartwatch 尉 Galaxy Gear, which are now on the market. In addition, there are many wearable computing products in some professional fields, especially in the medical and military fields. Sound, as an important medium for the dissemination of information in nature, has brought people a large number of applications of environmental information sound recognition technology in wearable computers, which is in line with the development direction of wearable computers. That is to say, the application of the technology of enhancing human's ability and assisting human's production activity sound recognition enhances human's auditory ability, and when analyzing audio signal, the information of audible object is feedback on wearable computer with network function. Each wearable computer can be used as the node in the network. The collected information can be shared with other nodes through the network center, and the center will integrate and analyze the information in a wide range of environments, so as to add the environment-aware function to the wearable computer. In this paper, a large number of domestic and foreign literatures are reviewed, and the development and present situation of wearable computer and sound recognition field are discussed, and the difference between sound signal and speech signal is analyzed. The technical foundation and framework of developing sound recognition system are determined. By studying the theory of sound recognition, the preprocessing feature extraction of sound signal and the recognition technology based on HMM model are put forward, and according to the characteristics of wearable computer, Combined with the purpose of environment awareness, the frame structure of the whole system and the function of each module are determined, and the design of this system adopts the C graphical user interface application program QT, which is cross-platform, to realize the development of each module function. Finally, the actual use of the system is tested, the performance of the system is analyzed, and the desirable points of the system and the areas that need to be improved are summarized.
【學(xué)位授予單位】:哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TN912.34

【共引文獻(xiàn)】

相關(guān)期刊論文 前3條

1 寧濱;王飛躍;董海榮;文丁;劉德榮;高士根;王晶;;高速鐵路平行控制與管理系統(tǒng)研究框架[J];復(fù)雜系統(tǒng)與復(fù)雜性科學(xué);2010年04期

2 楊曜;郭斌;於志文;;一種基于背景聲音識(shí)別的移動(dòng)社會(huì)活動(dòng)推薦系統(tǒng)[J];計(jì)算機(jī)科學(xué);2014年10期

3 楊銘;;自然與城市聲特征及自動(dòng)識(shí)別[J];新建筑;2014年05期

相關(guān)碩士學(xué)位論文 前1條

1 李玉婷;高速鐵路建設(shè)項(xiàng)目投資造價(jià)風(fēng)險(xiǎn)研究[D];西南交通大學(xué);2014年



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