131 citations · 291 across the 34 of their papers we have counts for
3 papers · 1 filter
Varianceflow: High-Quality and Controllable Text-to-Speech using Variance Information via Normalizing Flow
Yoonhyung Lee, Jinhyeok Yang, Kyomin Jung
There are two types of methods for non-autoregressive text-to-speech models to learn the one-to-many relationship between text and speech effectively. The first one is to use an ad…
Multimodal Speech Emotion Recognition using Cross Attention with Aligned Audio and Text
Yoonhyung Lee, Seunghyun Yoon, Kyomin Jung
In this paper, we propose a novel speech emotion recognition model called Cross Attention Network (CAN) that uses aligned audio and text signals as inputs. It is inspired by the fa…
Speech Emotion Recognition Using Multi-hop Attention Mechanism
Seunghyun Yoon, Seokhyun Byun, Subhadeep Dey +1
In this paper, we are interested in exploiting textual and acoustic data of an utterance for the speech emotion classification task. The baseline approach models the information fr…