title: What's the utility of the audio embeddings from Google Audioset for audio classification?
body: <p>I have extracted the audio embeddings from Google Audioset corpus (<a href="https://research.google.com/audioset/dataset/index.html" rel="nofollow noreferrer">https://research.google.com/audioset/dataset/index.html</a>). The audio embeddings contain a list of &quot;bytes_lists&quot; which is similar to the following</p>
  <pre><code>feature {     
      bytes_list {       
            value: &quot;#\226]\006(N\223K\377\207\r\363\333\377\000Y\322v9\351\303\000\377\311\375\215E\342\377J\000\000_\000\370\222:\270\377\357\000\245\000\377\213jd\267\353\377J\033$\273\267\307\035\377\000\207\244Q\000\000\206\000\000\312\356&lt;R\325g\303\356\016N\224\377\270\377\237\240\377\377\321\252j\357O\217\377\377,\330\000\377|\246\000\013\034\000\377\357\212\267\300b\000\000\000\251\236\000\233\035\000\326\377\327\327\377\377\223\0009{&quot;     
          }   
  </code></pre>
  <p>}</p>
  <p>From the documentation and forum discussions, I learnt that these embeddings are the output of a pretrained model (MFCC+CNN) of the 10 second chunks of respective youtube videos. I have also learnt that these embeddings make it easy to work on deep learning models. How does it help the ML engineers?</p>
  <p>My confusion is if these audio embeddings are already pre-trained, what are the utilities of these audio embeddings? i.e. How can I use these embeddings to train advanced models for performing Sound Event Detection?</p>
  <p>An explanation of the build-up of the audioset corpus and it's utility would be much appreciated.</p>