62 citations · 116 across the 14 of their papers we have counts for
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eess.AS2019★ 1 cited
Emotional Voice Conversion using Multitask Learning with Text-to-speech
Tae-Ho Kim, Sungjae Cho, Shinkook Choi +2
Voice conversion (VC) is a task to transform a person's voice to different style while conserving linguistic contents. Previous state-of-the-art on VC is based on sequence-to-seque…
eess.AS2019★ 5 cited
Adjusting Pleasure-Arousal-Dominance for Continuous Emotional Text-to-speech Synthesizer
Azam Rabiee, Tae-Ho Kim, Soo-Young Lee
Emotion is not limited to discrete categories of happy, sad, angry, fear, disgust, surprise, and so on. Instead, each emotion category is projected into a set of nearly independent…
eess.AS2018
A Fully Time-domain Neural Model for Subband-based Speech Synthesizer
Azam Rabiee, Geonmin Kim, Tae-Ho Kim +1
This paper introduces a deep neural network model for subband-based speech synthesizer. The model benefits from the short bandwidth of the subband signals to reduce the complexity…