<story><title>Speech Recognition Is Not Solved</title><url>https://awni.github.io/speech-recognition/</url></story><parent_chain><item><author>twothamendment</author><text>It is one thing to hear and correctly identify the words. It is another to understand the meaning.&lt;p&gt;I&amp;#x27;ve been thinking about this because my son has Auditory Processing Disorder, APD. He can hear great, even a whisper across the house. The trouble is the words don&amp;#x27;t always make sense. He can tell me the words he heard and they are correct, but assigning a meaning to them doesn&amp;#x27;t work like it does for most people.&lt;p&gt;After playing him a bunch of audio with missing words, the lady who tested him was blown away by how smart he is - explaining that he is quickly filling in almost every missing word based by guessing from all thing possible things it could be, narrowing it down on context and getting it right. I guess that is a normal, all day long task for him.&lt;p&gt;Since then I&amp;#x27;ve thought about voice recognition differently. The AI to understand the context or fill in the blanks is what will make or break it.</text></item></parent_chain><comment><author>noir_lord</author><text>I&amp;#x27;d never heard of APD.&lt;p&gt;Interesting, all my life I&amp;#x27;ve struggled to follow a conversation in a crowded environment, so much so that I actively avoid background noise with words in, I work with silicon ear plugs in or headphones and music with no lyrics.&lt;p&gt;Looking at NHS symptoms they describe me as a child, didn&amp;#x27;t learn to read until I was 8.&lt;p&gt;I nearly ended up in the remedial track but for a single awesome teacher who spotted that it wasn&amp;#x27;t that I was incapable but that I was struggling to understand in a noisy classroom, she gave up her lunch time for 6mths and taught me one on one by the end of that year I could read much better.</text></comment>
<story><title>Speech Recognition Is Not Solved</title><url>https://awni.github.io/speech-recognition/</url></story><parent_chain><item><author>twothamendment</author><text>It is one thing to hear and correctly identify the words. It is another to understand the meaning.&lt;p&gt;I&amp;#x27;ve been thinking about this because my son has Auditory Processing Disorder, APD. He can hear great, even a whisper across the house. The trouble is the words don&amp;#x27;t always make sense. He can tell me the words he heard and they are correct, but assigning a meaning to them doesn&amp;#x27;t work like it does for most people.&lt;p&gt;After playing him a bunch of audio with missing words, the lady who tested him was blown away by how smart he is - explaining that he is quickly filling in almost every missing word based by guessing from all thing possible things it could be, narrowing it down on context and getting it right. I guess that is a normal, all day long task for him.&lt;p&gt;Since then I&amp;#x27;ve thought about voice recognition differently. The AI to understand the context or fill in the blanks is what will make or break it.</text></item></parent_chain><comment><author>bagacrap</author><text>&amp;gt; Since then I&amp;#x27;ve thought about voice recognition differently. The AI to understand the context or fill in the blanks is what will make or break it.&lt;p&gt;Of course, and all humans rely on this as well. No one hears every word perfectly all the time --- it&amp;#x27;s impossible, because the source person doesn&amp;#x27;t pronounce every word perfectly all the time. Context clues are a huge part of speech recognition, as well as gestural typing recognition and other forms of machine interpretation of human input. While it&amp;#x27;s always been a component of NLP, you can clearly see it in action with the Android keyboard these days because after you type two words in a row, the first may be corrected after you enter the second one, based on context provided by the second one.</text></comment>