Deep clustering: Discriminative embeddings for segmentation and separation — mentioned by antognini

Tue, 24 Oct 2017 15:23:12 GMT

It sounds like you know a lot about this field! I'll confess that I'm a neophyte. I'm working on audio research right now, but all I know about hearing aids is my one conversation with the whisper.ai CEO. > Cite me a paper and we can make billions. The relevant paper is Hershey et al., 2015 [1]. There are some audio examples here as well [2]. The idea is that a deep NN can apply a spectral mask and isolate a single speaker when many speakers are talking (or there's background noise). Of course a standard hearing aid has pretty limited hardware, which is why the hard part for them is…

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Deep clustering: Discriminative embeddings for segmentation and separation · HackerPapers discussions

Deep clustering: Discriminative embeddings for segmentation and separation — mentioned by antognini