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<div class="elementToProof"><span style="font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0); background-color: rgb(255, 255, 255);">There's an Android app that identifies whatever chord it hears in real-time. It's not
quite as accurate as the one for singers where it can tell how many cents they are off-tune also in real-time.<br>
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<div id="divRplyFwdMsg" dir="ltr"><font face="Calibri, sans-serif" style="font-size:11pt" color="#000000"><b>From:</b> Synth-diy <synth-diy-bounces@synth-diy.org> on behalf of Scott Young via Synth-diy <synth-diy@synth-diy.org><br>
<b>Sent:</b> 31 January 2023 19:29<br>
<b>To:</b> Ben Riggs <benalog1977@gmail.com>; SDIY List <synth-diy@synth-diy.org><br>
<b>Subject:</b> Re: [sdiy] Analysis modues, memory access patch cables</font>
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<div class="PlainText">Me too. Would be interesting to see if you could do something like that with a TinyML solution on a microcontroller.
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I’m trying to do something similar with guitar chords at the moment, but I’m limiting that to identifying a select few chords to start off with, would surely be much harder to identify all pitches reliably - but then that’s maybe where it could get creative!<br>
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Cheers,<br>
Scott.<br>
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> <br>
> On 31 Jan 2023, at 18:17, Ben Riggs via Synth-diy <synth-diy@synth-diy.org> wrote:<br>
> <br>
> In the spirit of the current news cycle, it all sounds very AI to me..<br>
> <br>
> /s<br>
> <br>
> Ben :)<br>
> <br>
> Sent from my iPhone<br>
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