1 citations · 1 across the 5 of their papers we have counts for
5 papers
HEAR Who Said What: Unlocking Speaker-Attributed Reasoning via Counterfactual Voice Grounding
Dongwook Lee, Sangkwon Park, Eunwoo Song +6
Speech Language Models (SLMs) are increasingly deployed in multi-speaker environments, yet their ability to attribute speech to the correct speaker and reason over speaker identiti…
Still Between Us? Evaluating and Improving Voice Assistant Robustness to Third-Party Interruptions
Dongwook Lee, Eunwoo Song, Che Hyun Lee +2
While recent Spoken Language Models (SLMs) have been actively deployed in real-world scenarios, they lack the capability to discern Third-Party Interruptions (TPI) from the primary…
RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching
Hyun Joon Park, Jeongmin Liu, Jin Sob Kim +3
We introduce RapFlow-TTS, a rapid and high-fidelity TTS acoustic model that leverages velocity consistency constraints in flow matching (FM) training. Although ordinary differentia…
Training Universal Vocoders with Feature Smoothing-Based Augmentation Methods for High-Quality TTS Systems
Jeongmin Liu, Eunwoo Song
While universal vocoders have achieved proficient waveform generation across diverse voices, their integration into text-to-speech (TTS) tasks often results in degraded synthetic q…
Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation
Heeseung Kim, Soonshin Seo, Kyeongseok Jeong +9
Recent work shows promising results in expanding the capabilities of large language models (LLM) to directly understand and synthesize speech. However, an LLM-based strategy for mo…