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Live Q&A with Alex Elium - Become A DSP Tuning Master and Build More Efficient Neural Networks

Alex Elium - Edge Impulse - Watch Now - Duration: 29:58

Live Q&A with Alex Elium for this talk titled "Become A DSP Tuning Master and Build More Efficient Neural Networks"
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MaurizioBrignoli
Score: 0 | 2 years ago | 1 reply

Is it possible extract dogs noise and car noise in the open enviorments to counts dogs warning call

Alex_ESpeaker
Score: 0 | 2 years ago | no reply

That sounds very doable! I would recommend the MFE block over the MFCC one, as MFCC is more based on human vocal sounds and MFE is better for more generic sound.
Alex_ESpeaker
Score: 0 | 3 years ago | no reply

Hello everyone, welcome! I'll be monitoring the questions now and will either answer with a comment for simple questions, or during the Q+A in about an hour for more lengthy responses. Enjoy!

15:18:19	 From  AllenK : Also "key" versus "monkey", where you see the correct sound, but it's not really what you want.
15:20:28	 From  Al Anway : It seems like early days for tuning, but as time goes on will there be published summaries of best settings that various people have found? Are there plans to establish a clearinghouse to collect and present them?
15:22:50	 From  Christophe Blouet : NN are used for years in sonar systems
15:23:19	 From  Christophe Blouet : same for vibrations
15:26:43	 From  Christophe Blouet : Very impressive demo, thanks a lot
15:28:54	 From  Radu Pralea : "Early days"... maybe, maybe not, we'll see (in restrospective), but we have to acknowledge CNNs for image and audio have also gone through some significant refinements during the last decade, with spectacular advances between iterations

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