不使用 Windows 的 C# 语音识别语音识别
我知道第一条评论是重复以前的线程，但是我找到的代码（来自 MSDN）使用了 Windows 的语音识别...我正在做我的毕业项目，语音识别是其中的一部分！我不能包含这段代码，我必须尝试从头开始做，正在对此进行一些研究，如果有人已经这样做了并且可以给我一个我可以受益的论文或代码的链接，我将非常感激从 ！
提前致谢！
I know the first comment will be that am duplicating previous threads, but the codes I found (from MSDN) uses window's speech recognition... I'm doing my graduation project and speech recognition is part of it! and I cant include this code,I have to try and do it from scratch, am doing some researches about it and I would be really thankful if someone have already done this and can give me a link for a paper or a code I can benefit from !
Thanks in advance!
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Microsoft Server Speech Platform 10.1（26 种语言的 SR 和 TTS）
http://www.microsoft.com/download/en/details.aspx?displaylang=en&id=24003
基本操作语音识别应用程序执行：
语言包
http:// www.microsoft.com/download/en/details.aspx?displaylang=en&id=3971
运行时下载
http://www.microsoft.com/download/en/details .aspx?displaylang=en&id=24974
这些库至少可以让您了解界面的组成，以及复制/窃取或模拟核心/基本代码的入门知识;)
还有这篇论文：
http:// www.cs.nyu.edu/~mohri/pub/hbka.pdf
祝你好运！
Microsoft Server Speech Platform 10.1 (SR and TTS in 26 languages)
http://www.microsoft.com/download/en/details.aspx?displaylang=en&id=24003
The basic operations that speech recognition applications perform:
Language Packs
http://www.microsoft.com/download/en/details.aspx?displaylang=en&id=3971
Runtime Download
http://www.microsoft.com/download/en/details.aspx?displaylang=en&id=24974
These libraries could, at least, give you a starter to understand the makeup of the interfaces, and a starter of the core/base code to copy/steal or emulate ;)
There's also this paper:
http://www.cs.nyu.edu/~mohri/pub/hbka.pdf
Best of Luck!
编写实现基本识别算法的代码（基于隐马尔可夫模型的识别器如今已成为常态）只是您挑战的一部分。事实上，每个语音识别系统都根据实际语音数据进行训练，因此您还必须识别语料库（音频文件和转录的集合）来训练您的数学模型。
如果您仍然有兴趣，请查看 CMU 的开源 Sphinx 语音识别器（以及相关工具）这一切都靠你自己。
Writing the code that implements the basic recognition algorithm (Hidden Markov Model based recognizers are the norm these days) is only part of your challenge. Virtually every speech recognition system is trained on actual speech data, so you also have to identify a corpus (collection of audio files and transcriptions) to train your mathematical models.
Have a look at the open source Sphinx speech recognizer (and related tools) from CMU if you are still interested in doing it all by yourself.