问题描述
Operears:适用于iPhone(iOS设备)的语音识别(语音到文本)框架，我已经在我的iPhone设备上安装了openears演示应用程序，它运作良好，但仅适用于GO，CHANGE，MODEL等单词列表.对于实时语音识别，我们可以使语音识别更通用吗，即不限于少数单词.它应该是通用的.
Operears: The speech recognition(Speech to text) framework for iPhone(iOS Devices), I have installed openears demo app on my iPhone device, It works well but only for a list of words like GO, CHANGE, MODEL. Can we make speech recognition more generic for a real time speech recognition, that is, not limited to few words. It should be generic.
Openears: http://www.politepix.com/openears/
Openears:http://www.politepix.com/openears/
推荐答案
您必须使用新的语言模型而不是其默认模型.
You have to use new Language Model instead of their default one.
语言模型是您希望OpenEars理解的词汇表，其语音识别引擎可以理解的格式.
The language model is the vocabulary that you want OpenEars to understand, in a format that its speech recognition engine can understand.
语言模型越小，越能更好地适应用户的实际使用情况，准确性就越高.
The smaller and better-adapted to your users' real usage cases the language model is, the better the accuracy.
PocketsphinxController的理想语言模型少于200个单词.
An ideal language model for PocketsphinxController has fewer than 200 words.
您可以通过LanguageModelGenerator类动态创建新的语言模型.
You can dynamically create new language model through the LanguageModelGenerator class.
请参见 有关LangaugeModelGenerator和&的详细信息；Openears基本概念在这里
See the Details about LangaugeModelGenerator & Openears Basic concepts here
注意:
请仅在他们的论坛
您可以看到更多语音转文本SDK的
You can see more Speech-To-Text SDK's here
这篇关于使用Openears框架进行语音识别?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！