📜  人工智能-研究领域

📅  最后修改于: 2021-01-23 05:40:52             🧑  作者: Mango


人工智能领域的广度和宽度是巨大的。在继续进行过程中,我们考虑了AI领域中广泛且繁荣的研究领域-

情报研究领域

语音和语音识别

这两个术语在机器人技术,专家系统和自然语言处理中很常见。尽管这些术语可以互换使用,但它们的目标是不同的。

Speech Recognition Voice Recognition
The speech recognition aims at understanding and comprehending WHAT was spoken. The objective of voice recognition is to recognize WHO is speaking.
It is used in hand-free computing, map, or menu navigation. It is used to identify a person by analysing its tone, voice pitch, and accent, etc.
Machine does not need training for Speech Recognition as it is not speaker dependent. This recognition system needs training as it is person oriented.
Speaker independent Speech Recognition systems are difficult to develop. Speaker dependent Speech Recognition systems are comparatively easy to develop.

语音和语音识别系统的工作

在麦克风上说出的用户输入将进入系统的声卡。转换器将模拟信号转换为等效的数字信号以进行语音处理。该数据库用于比较声音模式以识别单词。最后,将反向反馈提供给数据库。

该源语言文本成为翻译引擎的输入,翻译引擎将其转换为目标语言文本。它们受交互式GUI,大型词汇库等支持。

研究领域的实际应用

在众多应用中,人工智能为普通人的日常生活提供服务-