📅  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-
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 |
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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. |
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。
在众多应用中,人工智能为普通人的日常生活提供服务-