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Global conditioning on speaker identification #13

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basveeling opened this issue Sep 27, 2016 · 3 comments
Open

Global conditioning on speaker identification #13

basveeling opened this issue Sep 27, 2016 · 3 comments

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@basveeling
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basveeling commented Sep 27, 2016

And perhaps using a keras embedding layer to learn a representation for speakers?

@malzzz
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malzzz commented Jan 13, 2017

I'm actually very interested in this as well. Just to clarify, are you referring to something like FaceNet for voice? Have you done any more research into this area as of late?

@basveeling
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I haven't, but this would be interesting! I don't have any access to NN training hardware right now, but I'd love to see if this works.

@faroit
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faroit commented Mar 4, 2017

would this paper be relevant here?

screen shot 2017-03-04 at 18 28 25

Also there are a few deep embedded clustering implementations around. Also one in Keras: https://github.com/fferroni/DEC-Keras but I don't know if this one is well tested

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