4 accepted papers
Predicting the speaker’s identity of short speech segments in human dialogue has been considered one of the most challenging problems in speech signal processing. Speaker representations of short speech segments tend to be unreliable, resulting in poor fidelity of speaker representations in tasks re…
Suicide is a major societal challenge globally, with a wide range of risk factors, from individual health, psychological and behavioral elements to socio-economic aspects. Military personnel, in particular, are at especially high risk. Crisis resources, while helpful, are often constrained by access…
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 recovery loss, and a clustering-specific los…
Speaker diarization is necessary with ubiquitous and individualized recorders. We focus on the specific task of speaker diarization from two information streams, two microphones, assigned to two participants of interest. In real scenarios, speakers may be co-located, in noisy environments with inter…