<?xml-stylesheet type="text/xsl" href="https://community.element14.com/cfs-file/__key/system/syndication/rss.xsl" media="screen"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:slash="http://purl.org/rss/1.0/modules/slash/" xmlns:wfw="http://wellformedweb.org/CommentAPI/"><channel><title>Project 02: Speech Recognition and Machine Learning | Arduino Nano 33 BLE Sense Roadtest</title><link>/products/roadtest/b/blog/posts/project-02-speech-recognition-and-machine-learning-arduino-nano-33-ble-sense-roadtest</link><description>I welcome you to this part of my review about Arduino Nano 33 BLE Sense. My review is split into multiple blog posts. You can find all my thoughts about this Arduino and related parts in chapters with name beginning with &amp;quot;Review&amp;quot;. There are also arti</description><dc:language>en-US</dc:language><generator>Telligent Community 12</generator><item><title>RE: Project 02: Speech Recognition and Machine Learning | Arduino Nano 33 BLE Sense Roadtest</title><link>https://community.element14.com/products/roadtest/b/blog/posts/project-02-speech-recognition-and-machine-learning-arduino-nano-33-ble-sense-roadtest</link><pubDate>Thu, 01 Apr 2021 13:42:34 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:ec7e9806-bdc3-4321-9d7d-870ed1761bbb</guid><dc:creator>gpolder</dc:creator><slash:comments>1</slash:comments><description>&lt;p&gt;did you try an FFT as preprocessing step?&lt;/p&gt;&lt;img src="https://community.element14.com/aggbug?PostID=11062&amp;AppID=14&amp;AppType=Weblog&amp;ContentType=0" width="1" height="1"&gt;</description></item><item><title>RE: Project 02: Speech Recognition and Machine Learning | Arduino Nano 33 BLE Sense Roadtest</title><link>https://community.element14.com/products/roadtest/b/blog/posts/project-02-speech-recognition-and-machine-learning-arduino-nano-33-ble-sense-roadtest</link><pubDate>Wed, 31 Mar 2021 19:25:20 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:ec7e9806-bdc3-4321-9d7d-870ed1761bbb</guid><dc:creator>DAB</dc:creator><slash:comments>0</slash:comments><description>&lt;p&gt;There are a lot of variables involved with getting audio recognition correct.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;I remember back in the 1980&amp;#39;s we had a system that worked well for most of us, but our engineer from Georgia could not use it.&lt;/p&gt;&lt;p&gt;When we tuned it to work for her, it would not work for any of the rest of us.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;DAB&lt;/p&gt;&lt;img src="https://community.element14.com/aggbug?PostID=11062&amp;AppID=14&amp;AppType=Weblog&amp;ContentType=0" width="1" height="1"&gt;</description></item><item><title>RE: Project 02: Speech Recognition and Machine Learning | Arduino Nano 33 BLE Sense Roadtest</title><link>https://community.element14.com/products/roadtest/b/blog/posts/project-02-speech-recognition-and-machine-learning-arduino-nano-33-ble-sense-roadtest</link><pubDate>Wed, 31 Mar 2021 14:28:00 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:ec7e9806-bdc3-4321-9d7d-870ed1761bbb</guid><dc:creator>ralphjy</dc:creator><slash:comments>1</slash:comments><description>&lt;p&gt;When you trained and built the Edge Impulse model, what accuracy did it indicate?&amp;nbsp; Can you share your impulse design and the resulting Confusion matrix.&amp;nbsp; Just interested as I am learning TinyML also.&amp;nbsp; If your model trained okay, you may have a deployment problem.&amp;nbsp; Did you try live classification with your model?&lt;/p&gt;&lt;img src="https://community.element14.com/aggbug?PostID=11062&amp;AppID=14&amp;AppType=Weblog&amp;ContentType=0" width="1" height="1"&gt;</description></item></channel></rss>