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所在平台: Udemy |
课程主页: https://www.udemy.com/course/digital-audio-fundamentals/
课程评论：没有评论
课程名称：数字音频基础 课程概述： 在《数字音频基础》这门课程中，我们将通过音频从模拟信号到数字领域的转变，深入探讨数字音频的世界及其相关理论、实用性和细微差别。课程将讨论音频在数字领域的含义，以及它与模拟领域的异同。我们将探索如何定义数字音频，以及其中的标志性特征。我们会了解到，在数字音频处理中，我们必须放弃时间的连续概念，而是将时间分割成微小的片段。 课程内容包括奈奎斯特采样定理，这一理论对数字信号处理的每个方面都至关重要。我们将深入分析采样过程，讨论在项目中使用不同采样率的动机，并探讨通常由于采样不当所引起的混叠现象，以及用例子和插图来理解这种现象的发生并寻找有效的解决方案。 接下来，我们会讨论采样幅度测量，音频量化和数字化过程的分辨率，以及它们与噪声和数字信号的动态范围之间的关系。同时，我们将了解音频样本数据的二进制和位级表示，探讨位深度的概念，观察不同位深度选择的实际效果和伪影，并聆听量化误差的声音。我们还会介绍一些减少噪声的技术，如抖动和噪声整形。 最后，我们将把所有这些概念结合在一起，讨论编码的问题，并介绍一种强大的编码机制——脉冲编码调制（PCM），用于数字数据的传输和存储。关于存储部分，我们将探讨数字音频如何在计算机文件系统中存储和访问，了解容器和文件格式。 这门课程适合任何从事数字音频相关工作的人士，无论是希望录制乐器的音乐家，想要刷新知识的资深制作人，还是希望涉足音频编程并打下坚实基础的软件工程师。
In this course, Digital Audio Fundamentals, we'll follow the journey of audio from humble beginnings where they are just analog signals and follow their transformation into the digital realm. This course is a deep dive into the world of digital audio and all the theory, practicalities and nuances associated with it.We'll look at what it means for audio to be in the digital domain and how it's different, or rather similar to audio in the analog domain. How do we even define it, and what are the hallmarks of digital audio. We'll see how we need to give up the concept of time as being continuous and instead think about time in tiny slices, spaced apart. We'll learn about the Nyquist sampling theorem which governs every aspect of digital signal processing, so we'll take a deep dive into the process of sampling and talk about the motivations for using different sample rates for your projects. We'll take a look at aliasing, a common problem that arises from the poor consideration of sampling, and understand why this happens using illustrations and example and try to adopt solutions that get rid of them for good.We'll move on to the realm of sample amplitude measurements, where we talk about quantization of audio and the resolution of the digitization process. We'll see how it's interrelated with noise and dynamic range of digital signals. We'll look at the binary and bitwise representation of audio sample data, and explore the concept of bit depth. We'll examine the real world effects and artifacts of choosing different bit depths and listen to what quantization error sounds like. There are a couple of miscellaneous topics where I introduce ways of reducing this noise by using techniques like dithering and noise shaping.We'll bring all of these concepts together to talk about encoding, and discuss a simple yet powerful encoding mechanism called pulse code modulation for packaging digital data for the purposes of transmission and storage. Speaking about storage, we'll explore how digital audio is stored and accessed in a computer file system by looking at containers and file formats.This course is for anybody working in the realm of digital audio. Be it a musician, who wants to record his instruments and want to understand the process, or a seasoned producer, who wants to refresh and relearn some of the concepts, or a software engineer who wants to get into audio programming and want a strong foundation.
