Removing Speaker Information from Speech Representation using Variable-Length Soft Pooling

no code implementations • 1 Apr 2024 • Injune Hwang, Kyogu Lee

Recently, there have been efforts to encode the linguistic information of speech using a self-supervised framework for speech synthesis.

Speaker Identification Speech Synthesis

Learning Semantic Information from Raw Audio Signal Using Both Contextual and Phonetic Representations

no code implementations • 2 Feb 2024 • Jaeyeon Kim, Injune Hwang, Kyogu Lee

We propose a framework to learn semantics from raw audio signals using two types of representations, encoding contextual and phonetic information respectively.

Language Modelling Spoken Language Understanding

Efficient Multi-Task Reinforcement Learning via Selective Behavior Sharing

no code implementations • 1 Feb 2023 • Grace Zhang, Ayush Jain, Injune Hwang, Shao-Hua Sun, Joseph J. Lim

The ability to leverage shared behaviors between tasks is critical for sample-efficient multi-task reinforcement learning (MTRL).

reinforcement-learning Reinforcement Learning (RL)

Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning

no code implementations • 2 Dec 2020 • Taehyeong Kim, Injune Hwang, Hyundo Lee, Hyunseo Kim, Won-Seok Choi, Joseph J. Lim, Byoung-Tak Zhang

Active learning is widely used to reduce labeling effort and training time by repeatedly querying only the most beneficial samples from unlabeled data.

Active Learning