September 2022
Intermediate to advanced
549 pages
11h 27m
Chinese
Content preview from 基于AWS的数据科学实践
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第
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章
2.7
对话装置和语音助手
无论是
Alexa
还是其他知名的家庭语音助手，它们都用自动语音识别（
automatic
speech recognition, ASR
）和自然语言理解（
natural language understanding, NLU
）
领域内最先进的深度学习技术来识别我们说话的意图。
2.7.1
用
Amazon Lex
进行语音识别
通过使用
Amazon Lex
为语音和文字创建对话式接口，我们可以利用与
Amazon
Alexa
相同的深度学习技术。
Amazon Lex
是一个使用
ASR
将语音转换成文字的完
全托管服务。同时，
Amazon Lex
也使用
NLU
来识别文字的意图。我们可以为众多
语音和文字指令构建自定义的回复，诸如“办公室的
IT
服务台在哪里”“将这个会
议室保留三十分钟”等。
2.7.2
用
Amazon Polly
进行文本转语音
Amazon Polly
是一个自动化的文本转语音服务，其中包含了数种不同语言、方言和
性别的人声。我们可以使用
Amazon Polly
来构建支持语音的应用，例如将文本转换
为类人声的语音来提升应用的可访问性。
2.7.3
用
Amazon Transcribe
进行语音转文字
Amazon Transcribe
是一个方便开发者添加语音转文字能力到其实时或批量应用的
ASR
服务。
Amazon Transcribe
通过批量或实时处理音频的方式将语音转换成文字。
Amazon Transcribe
的常见应用场景包括创建图片标题以及视频字幕。
2.8
文本分析和自然语言处理 ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.