合肥生活安徽新聞合肥交通合肥房產生活服務合肥教育合肥招聘合肥旅游文化藝術合肥美食合肥地圖合肥社保合肥醫院企業服務合肥法律

        代做ENG5027、代寫Python編程設計
        代做ENG5027、代寫Python編程設計

        時間:2024-10-17  來源:合肥網hfw.cc  作者:hfw.cc 我要糾錯



        Assignment 1 
        Digital Signal Processing 
        Fourier Transform 
         
        University of Glasgow, James Watt School of Engineering 
         
        Rami Ghannam & Scott Watson 
         
        This assignment is about the Fourier Transform, how to enhance your voice and reduce artefacts. 
         
        Form groups of 4-6, work together and submit one report. Enter your team into the Wiki on 
        moodle listing your names and matriculation numbers. There is a forum on the moodle you may 
        use the moodle forum to find team-mates. 
         
        Record the voice with a handheld mic of one member of your group in uncompressed WAV format. 
        Record a sentence at a Mic / speaker distance of 1cm. 
        Make sure that you record at least at 44.1kHz or at a higher sampling rate and that the audio is not 
        clipping. The full audio spectrum up to 20kHz needs to be available. Low quality MP3 downloads 
        from websites converted to WAV are not allowed and won’t be marked. Reports based on 
        recordings at sampling rates below 44kHz or downloads will not be marked. 
         
         1. Load the audio samples into python. 
        1. plot the audio signals in the time domain (linear axis: normalised amplitudes -1..+1 vs 
        time) and 
        2. in the frequency domain (logarithmic axis for both frequency and amplitude in dB) with 
        proper axis labels. Check out professional diagrams how to plot frequency spectra. 
        In both cases make sure you save your graphs a vector format (svg, pdf, ...) 
         
        2. Use a vector-drawing program (Inkscape, Illustrator, drawio, ...) and mark 
        1. the peaks in the spectrum which correspond to the fundamental frequencies of the 
        vowels spoken. 
        2. Mark up the frequency range which mainly contains the harmonics. 
        3. Mark up the frequency bands which most likely just contains noise and explain that in 
        the context how humans produce sound and how they perceive it. 
        Provide brief explanations. 30% 
         
        3. Using the speech audio you recorded, improve the quality of the voice, in particular by 
        manipulating the frequency bands above 3kHz with the Fourier Transform. This is not about 
        removing noise but to make the voice sounding perceptually more pleasant and interesting. 
        Provide an explanation. 30%  
        4. The so-called aural exciter sends a small amount of the sound through a non-linearity, for 
        example tanh and then adds this to the original signal. This makes the voice perceptually 
        louder. Your task is to experiment with this by sending different frequency ranges through 
        the non-linearity and then perhaps limiting the frequency band after the non-linearity and 
        finally adding to the original signal. Here is an article about the original exciter: 
        https://www.muzines.co.uk/articles/aphex-aural-exciter-type-b/2850 Nowadays it’s done 
        of course digitally and your task is to create one in python. 40%. 
         
        The report should be brief, concentrating on the technical aspects and why you have done the 
        different steps. Do not add generic theory about voice or Fourier Transform. Just describe the 
        method and the result. Complete PYTHON code must be included in the appendix and submitted 
        via moodle alongside the report. All figures inline in the report must be high quality graphics in 
        vector format. Blurry jpeg figures or screenshots will not be marked. Figure out early on how to 
        add high quality graphics to your document such as EPS or SVG. Submission must be PDF. Generally 
        Word loves SVG and LaTeX takes PDF or EPS. 
         
        Upload your code, data/WAV files to moodle in form as a single zip file. Follow exactly the naming 
        conventions for all files as specified on moodle. The scripts will be tested under Linux from the 
        command line (so not rely on Spyder, Pycharm or Vscode: your program must launch and run in 
        the terminal). Make sure your code is platform-independent and does not contain absolute paths. 
        Code that crashes will result in low marks. The same applies for code which won't display any 
        plots, for example forgetting "plt.show()". Your audio files must be original ones and WAV 16 bit. 
        No high level python signal processing / filtering commands are allowed except of the numpy FFT 
        and IFFT commands. 
         
        We recommend that you test your submission by passing it to someone else in your group who 
        should unpack it and run it in a new directory from the command line. It is very easy to lose marks 
        by forgetting to include in your submitted package files you have written and that you require for 
        you code to run. 
         
        Deadline: 21st Oct, 3pm on moodle. 
         
        請加QQ:99515681  郵箱:99515681@qq.com   WX:codinghelp





         

        掃一掃在手機打開當前頁
      1. 上一篇:CS 520代寫、代做Java語言程序
      2. 下一篇:代寫INFO1113、Java編程設計代做
      3. 無相關信息
        合肥生活資訊

        合肥圖文信息
        急尋熱仿真分析?代做熱仿真服務+熱設計優化
        急尋熱仿真分析?代做熱仿真服務+熱設計優化
        出評 開團工具
        出評 開團工具
        挖掘機濾芯提升發動機性能
        挖掘機濾芯提升發動機性能
        海信羅馬假日洗衣機亮相AWE  復古美學與現代科技完美結合
        海信羅馬假日洗衣機亮相AWE 復古美學與現代
        合肥機場巴士4號線
        合肥機場巴士4號線
        合肥機場巴士3號線
        合肥機場巴士3號線
        合肥機場巴士2號線
        合肥機場巴士2號線
        合肥機場巴士1號線
        合肥機場巴士1號線
      4. 短信驗證碼 酒店vi設計 deepseek 幣安下載 AI生圖 AI寫作 aippt AI生成PPT 阿里商辦

        關于我們 | 打賞支持 | 廣告服務 | 聯系我們 | 網站地圖 | 免責聲明 | 幫助中心 | 友情鏈接 |

        Copyright © 2025 hfw.cc Inc. All Rights Reserved. 合肥網 版權所有
        ICP備06013414號-3 公安備 42010502001045

        主站蜘蛛池模板: 免费一区二区三区在线视频| 2014AV天堂无码一区| 国产福利一区二区| 极品尤物一区二区三区| 亚洲av乱码一区二区三区| 国产在线视频一区| 夜夜嗨AV一区二区三区| 人妻精品无码一区二区三区| 国产精品久久久久一区二区| 国产精品 视频一区 二区三区| 福利在线一区二区| 亚洲AV无码第一区二区三区| 精品无码AV一区二区三区不卡 | 亚洲国产激情在线一区| 国产乱码精品一区二区三区| 国产精品免费大片一区二区| 亚洲伦理一区二区| 精品一区二区91| 精品欧洲av无码一区二区14| 亚洲片一区二区三区| 国模私拍福利一区二区| 久久精品综合一区二区三区| 国内精品视频一区二区三区八戒| 成人国产一区二区三区| 黑巨人与欧美精品一区| 亚洲AV综合色一区二区三区| 国产精品亚洲不卡一区二区三区 | 色窝窝无码一区二区三区成人网站 | 精品国产AⅤ一区二区三区4区 | 久久国产香蕉一区精品| 好爽毛片一区二区三区四无码三飞| 中文字幕VA一区二区三区| 日本一区二区三区在线看| 在线视频一区二区三区四区| 亚洲国产一区在线观看| 91在线视频一区| 呦系列视频一区二区三区| 日韩免费一区二区三区在线播放| 久久精品岛国av一区二区无码| 中文字幕色AV一区二区三区| 国产美女精品一区二区三区|