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4. Speaker Diarization Using Latent Space Clustering In Generative Adversarial Network

Speaker Diarization Using Latent Space Clustering In Generative Adversarial Network

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IEEE ICASSP 2020 Virtual Conference May 2020

In this work, we propose deep latent space clustering for speaker diarization using generative adversarial network (GAN) back-projection with the help of an encoder network. The proposed diarization system is trained jointly with GAN loss, latent variable

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Speaker Diarization Using Latent Space Clustering In Generative Adversarial Network

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In this work, we propose deep latent space clustering for speaker diarization using generative adversarial network (GAN) back-projection with the help of an encoder network. The proposed diarization system is trained jointly with GAN loss, latent variable