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eess.AS2025
SpeechMLC: Speech Multi-label Classification
Miseul Kim, Seyun Um, Hyeonjin Cha +1
In this paper, we propose a multi-label classification framework to detect multiple speaking styles in a speech sample. Unlike previous studies that have primarily focused on ident…
eess.AS2022★ 1 cited
ReCAB-VAE: Gumbel-Softmax Variational Inference Based on Analytic Divergence
Sangshin Oh, Seyun Um, Hong-Goo Kang
The Gumbel-softmax distribution, or Concrete distribution, is often used to relax the discrete characteristics of a categorical distribution and enable back-propagation through dif…
eess.AS2019
Emotional speech synthesis with rich and granularized control
Se-Yun Um, Sangshin Oh, Kyungguen Byun +3
This paper proposes an effective emotion control method for an end-to-end text-to-speech (TTS) system. To flexibly control the distinct characteristic of a target emotion category,…