<story><title>Meta Releases New AI-Based Photo Segmentation Tool to Everybody</title><url>https://arstechnica.com/information-technology/2023/04/meta-introduces-ai-model-that-can-isolate-and-mask-objects-within-images/</url></story><parent_chain><item><author>bick_nyers</author><text>Somewhat tangential question, have you looked for&amp;#x2F;found any audio models&amp;#x2F;tools that can be used for separating out individual voices to separate audio tracks automatically? Perhaps this is already possible with existing tools that I am uninitiated in.</text></item><item><author>graderjs</author><text>I relly hope Meta (FB research) releases this wonderful noise reduction library: &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;github.com&amp;#x2F;facebookresearch&amp;#x2F;denoiser&quot;&gt;https:&amp;#x2F;&amp;#x2F;github.com&amp;#x2F;facebookresearch&amp;#x2F;denoiser&lt;/a&gt;&lt;p&gt;I tested MANY while building various audio tech and this was by far the best (beats the shit out of all the python Pandas Hugging Face lists etc). Incredibly ability to cut noise (tho, it must be noted that perceptual improvements for humans do not usually increase machine transcription as AI models strangely seem to pull info out of the dead space between words, and the noise around words...not just the voiced words themselves...the hidden vibrations, beyond our human ken, oh mere mortals unworthy of the grand perceptive machines...ugh...:p :o ;p xx ;p)&lt;p&gt;I contacted the authors via their FB emails but never heard back. Right now it&amp;#x27;s non-commercial and I was building a commercial product.</text></item></parent_chain><comment><author>bane</author><text>That&amp;#x27;s called &amp;quot;speaker diarization&amp;quot; and there&amp;#x27;s quite a bit of work in the field. &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;github.com&amp;#x2F;topics&amp;#x2F;speaker-diarization&quot;&gt;https:&amp;#x2F;&amp;#x2F;github.com&amp;#x2F;topics&amp;#x2F;speaker-diarization&lt;/a&gt;&lt;p&gt;I have no idea what&amp;#x27;s good or the best, but there&amp;#x27;s a starting point!</text></comment>
<story><title>Meta Releases New AI-Based Photo Segmentation Tool to Everybody</title><url>https://arstechnica.com/information-technology/2023/04/meta-introduces-ai-model-that-can-isolate-and-mask-objects-within-images/</url></story><parent_chain><item><author>bick_nyers</author><text>Somewhat tangential question, have you looked for&amp;#x2F;found any audio models&amp;#x2F;tools that can be used for separating out individual voices to separate audio tracks automatically? Perhaps this is already possible with existing tools that I am uninitiated in.</text></item><item><author>graderjs</author><text>I relly hope Meta (FB research) releases this wonderful noise reduction library: &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;github.com&amp;#x2F;facebookresearch&amp;#x2F;denoiser&quot;&gt;https:&amp;#x2F;&amp;#x2F;github.com&amp;#x2F;facebookresearch&amp;#x2F;denoiser&lt;/a&gt;&lt;p&gt;I tested MANY while building various audio tech and this was by far the best (beats the shit out of all the python Pandas Hugging Face lists etc). Incredibly ability to cut noise (tho, it must be noted that perceptual improvements for humans do not usually increase machine transcription as AI models strangely seem to pull info out of the dead space between words, and the noise around words...not just the voiced words themselves...the hidden vibrations, beyond our human ken, oh mere mortals unworthy of the grand perceptive machines...ugh...:p :o ;p xx ;p)&lt;p&gt;I contacted the authors via their FB emails but never heard back. Right now it&amp;#x27;s non-commercial and I was building a commercial product.</text></item></parent_chain><comment><author>rahimnathwani</author><text>&lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;speechbrain.readthedocs.io&amp;#x2F;en&amp;#x2F;latest&amp;#x2F;API&amp;#x2F;speechbrain.lobes.models.ECAPA_TDNN.html&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;speechbrain.readthedocs.io&amp;#x2F;en&amp;#x2F;latest&amp;#x2F;API&amp;#x2F;speechbrain...&lt;/a&gt;</text></comment>