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cs.SD2024
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…
cs.CL2024★ 1 cited
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…