3 accepted papers
Recent artificial neural networks has demonstrated remarkable capabilities across various tasks, raising expectations for Human-Level AI (HLAI). This position paper argues that integrating explicit memory is instrumental in advancing current AI towards HLAI. The key reason is that the underlying lea…
Making neural networks remember over the long term has been a longstanding issue. Although several external memory techniques have been introduced, most focus on retaining recent information in the short term. Regardless of its importance, information tends to be fatefully forgotten over time. We pr…
In this paper, we investigate multi-speaker emotional acoustic modeling methods for convolutional neural network (CNN) based speech synthesis system. For emotion modeling, we extend to the speech synthesis system that learns a latent embedding space of emotion, derived from a desired emotional ident…