大部分是Java。 http://cmusphinx.sourceforge.net/html/cmusphinx.php

如果你的预算有限，斯芬克斯是迄今为止最好的选择。 然而，它也使一个 huge 你使用什么模型，你如何调整它们，这些都是不同的。 和 how you tune your audio source. absolutely everything has to match otherwise it just wont work. given the problem you described id be willing to bet a substantial sum that you've got you got your models mixed up 和 your mic is not correctly calibrated. also, if you have an accent it probably will not work - this is not an issue with the decoder but with the acoustic models - if no one with a voice/accent similar to yours was included in the training data you'll get poor results.

话虽如此，你是否看过他们的开放源代码模型页面？

http://www.speech.cs.cmu.edu/sphinx/models/

depending on what you are trying to do you should be able to obtain about 90% accuracy on free speech with the 16kHz WSJ models 和 the gigaword LMs NVP. i caution however that ASR is a massive undertaking 和 hasn't yet reached commodity status.

你可以从以下网站下载vPass（语音密码）。 http://www.basic-signalprocessing.com .