I was in the same situation, and certainly this kind of information is out there but you need to do some research first. This is what I have found:
Digital Audio processing is a branch of DSP (Digital Signal
Processing).
DSP is one of the most powerful technologies that will
shape science and engineering in the twenty-first century.
Revolutionary changes have already been made in a broad range of
fields: communications, medical imaging, radar & sonar, high fidelity
music reproduction, and oil prospecting, to name just a few. Each of
these areas has developed a deep DSP technology, with its own
algorithms, mathematics, and specialized techniques…
This quote was taken from a very helpful guide that covers every topic in depth called the “The Scientist and Engineer s Guide to
Digital Signal Processing”. And though you are not asking for DSP specifically there’s a chapter that covers all digital audio related topics with a very good explanation.
可在上查阅,并涵盖所有专题:
- Human Hearing: how the sound is perceived by our ears, this is the
basis of how then the sound is then generated artificially.
- Timbre: explains the properties of sound, like loudness, pitch and
timbre.
- Sound Quality vs. Data Rate: once you know the previous concepts
we start to translate it to the electronic side.
- High Fidelity Audio: gives you a picture of how sound is then
processed digitally.
- Companding: here you can find how sound is then processed and
compressed for telecommunications.
- Speech Synthesis and Recognition: More processes applied to the
sound, like filters, synthesis, etc.
- Nonlinear Audio Processing: this is more advanced but understandable,
for sound treatment and other topics.
它解释了在现实世界中健全的基本原理,如果你想要看一看,那么它就解释了如何在计算机中处理声音,包括你要求什么。
但是,在基佩西亚发现的其他专题更为具体,请说“Digital 音频页,该网页可用作进一步研究的参考,就在开始时,你可以找到与抽样率、音响波、数字形式、标准、深度、电信等几个链接。 也许需要进一步研究的几件事情,如ny、四舍五入的转变、复杂数目等等,但是,这只是你可能不审查或使用的非常具体和先进的专题。 但我只提到你们感兴趣的情况。 虽然你需要研究一些数学,但你还是可以在DVD指南书和wiikipedia中找到信息。
我早就利用假日来制定和研究这些题目,因为有许多有用的图书馆,如 n、音响装置、幻灯等。 那么,你就可以开始 sound。 在你管上,你可以找到许多录像,指导你如何做到这一点。 我发现合成、过滤器、语音识别器,你可以制作带有公正代码的编织物。 但我也看到了C/C++项目, Java稿和其他语文,可以帮助你继续学习和编织。
互联网上还有其他几个参考资料,但你可能需要了解你所期待的内容,这本书和基百页将成为我的最佳起点,因为它为你们提供了基础,并深入地解释了每一个专题。 然后,视你想要达到的目标,就可以开始寻找更多的信息。
