基于matlab聲音信號(hào)的濾波去噪處理畢業(yè)論文-全文預(yù)覽
【正文】 域提供了一種全面的解決方案，并在很大程度上擺脫了傳統(tǒng)非交互式程序設(shè)計(jì)語(yǔ)言，如C、Fortran的編輯模式，代表了當(dāng)今國(guó)際科學(xué)計(jì)算軟件的先進(jìn)水平。s most important, most effective, most popular and most convenient form of exchange of information.. Matlab language is a data analysis and processing functions are very powerful puter application software, sound files which can be transformed into discrete data files, then use its powerful ability to process the data matrix operations, such as digital filtering, Fourier transform, when domain and frequency domain analysis, sound playback and a variety of map rendering, and so on. Its signal processing and analysis toolkit for voice signal analysis provides a very rich feature function, use of these functions can be quick and convenient features plete voice signal processing and analysis and visualization of signals, makes puter interaction more convenient . Matlab Signal Processing is one of the important areas of application. The design of voiceprocessing software for most of the content are numerous, easy to maneuver and so on, using prehensive use GUI interface design, various function calls to voice signals such as frequency, amplitude, Fourier transform and filtering, the program interface concise, simple, has some significance in practice. Finally, the speech signal processing further development put forward their own views. 2 目 錄摘要1ABSTRACT11. 緒論 2. 語(yǔ)音信號(hào)去噪方法的研究 3. 去噪和仿真的研究 原始語(yǔ)音信號(hào)頻譜分析及仿真13 加噪語(yǔ)音信號(hào)頻譜分析及仿真15 去噪及仿真18 結(jié)合去噪后的頻譜圖對(duì)比兩種方式濾波的優(yōu)缺點(diǎn)22總結(jié)24致謝25參考文獻(xiàn)26 語(yǔ)音信號(hào)的采集與分析技術(shù)是一門涉及面很廣的交叉科學(xué)，它的應(yīng)用和發(fā)展與語(yǔ)音學(xué)、聲音測(cè)量學(xué)、電子測(cè)量技術(shù)以及數(shù)字信號(hào)處理等學(xué)科緊密聯(lián)系，語(yǔ)音是人類獲取信息的重要來(lái)源和利用信息的重要手段。通過(guò)理論推導(dǎo)得出相應(yīng)結(jié)論，再利用MATLAB作為編程工具進(jìn)行計(jì)算機(jī)實(shí)現(xiàn)。Matlab功能強(qiáng)大、簡(jiǎn)單易學(xué)、編程效率高,深受廣大科技工作者的歡迎。FIR數(shù)字濾波器和IIR濾波器是濾波器設(shè)計(jì)的重要組成部分。課題基于MATLAB有噪音語(yǔ)音信號(hào)處理的設(shè)計(jì)與實(shí)現(xiàn)，綜合運(yùn)用數(shù)字信號(hào)處理的理論知識(shí)對(duì)加噪聲語(yǔ)音信號(hào)進(jìn)行時(shí)域、頻域分析和濾波。 ABSTRACTThe Design of Analysis and Processing Voice Signal Abstract Speech signal processing is to study the use of digital signal processing technology and knowledge of the voice signal voice processing of the emerging discipline is the fastest growing areas of information science one of the core technology. Transmission of information through the voice of humanity39。 MATLAB是由美國(guó)mathworks公司發(fā)布的主要面對(duì)科學(xué)計(jì)算、可視化以及交互式程序設(shè)計(jì)的高科技計(jì)算環(huán)境。隨著信息科學(xué)技術(shù)的飛速發(fā)展，語(yǔ)音信號(hào)處理取得了重大的進(jìn)展：進(jìn)入70年代之后，提出了用于語(yǔ)音信號(hào)的信息壓縮和特征提取的線性預(yù)測(cè)技術(shù)（LPC），并已成為語(yǔ)音信號(hào)處理最強(qiáng)有力的工具，廣泛應(yīng)用于語(yǔ)音信號(hào)的分析、合成及各個(gè)應(yīng)用領(lǐng)域，以及用于輸入語(yǔ)音與參考樣本之間，時(shí)間匹配的動(dòng)態(tài)規(guī)劃方法；80年代初一種新的基于聚類分析的高效數(shù)據(jù)壓縮技術(shù)—矢量量化（VQ）應(yīng)用于語(yǔ)音信號(hào)處理中；而用隱馬爾可夫模型（HMM）描述語(yǔ)音信號(hào)過(guò)程的產(chǎn)生是80年代語(yǔ)音信號(hào)處理技術(shù)的重大發(fā)展，目前HMM已構(gòu)成了現(xiàn)代語(yǔ)音識(shí)別研究的重要基石。能對(duì)語(yǔ)音信號(hào)進(jìn)行采集，并對(duì)其進(jìn)行各種處理，達(dá)到簡(jiǎn)單的語(yǔ)音信號(hào)處理的目的。2. 在MATLAB平臺(tái)上讀入語(yǔ)音信號(hào)。語(yǔ)音信號(hào)采集6 通過(guò)仿真后的圖像以及對(duì)語(yǔ)音信號(hào)的回放，對(duì)比兩種去噪方式的優(yōu)缺點(diǎn)。Δt)，f(t1177。圖為模擬信號(hào)和采樣樣本的示意圖。（21）采樣值來(lái)表示,只要這些采樣點(diǎn)的頻率間隔 通俗的講采樣頻率是指計(jì)算機(jī)每秒鐘采集多少個(gè)聲音樣本，是描述聲音文件的音質(zhì)、音調(diào)，衡量聲卡、聲音文件的質(zhì)量標(biāo)準(zhǔn)。采樣頻率越高，即采樣的間隔時(shí)間越短，則在單
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