<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Speech Recognition on Andy Ibanez</title><link>https://www.andyibanez.com/tags/speech-recognition/</link><description>Recent content in Speech Recognition on Andy Ibanez</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 29 Jan 2020 07:00:00 -0400</lastBuildDate><atom:link href="https://www.andyibanez.com/tags/speech-recognition/index.xml" rel="self" type="application/rss+xml"/><item><title>Recognizing Speech Locally on an iOS Device Using the Speech Framework</title><link>https://www.andyibanez.com/posts/speech-recognition-sfspeechrecognizer/</link><pubDate>Wed, 29 Jan 2020 07:00:00 -0400</pubDate><guid>https://www.andyibanez.com/posts/speech-recognition-sfspeechrecognizer/</guid><description>&lt;p&gt;As iOS becomes more advanced, features that we thought belonged to the long future start becoming more common place in today&amp;rsquo;s software. One such feature is speech recognition, which allows a device to take verbal input from a user, transcribe it into text, and do something with it.&lt;/p&gt;
&lt;p&gt;In iOS, we can do this using a framework called &lt;code&gt;Speech&lt;/code&gt;, and an object called &lt;code&gt;SFSpeechRecognizer&lt;/code&gt;. With this class, you can perform all kinds of speech recognition tasks.&lt;/p&gt;</description></item></channel></rss>