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cs.SD2024
Boosting Code-Switching ASR with Mixture of Experts Enhanced Speech-Conditioned LLM
Fengrun Zhang, Wang Geng, Hukai Huang +3
In this paper, we introduce a speech-conditioned Large Language Model (LLM) integrated with a Mixture of Experts (MoE) based connector to address the challenge of Code-Switching (C…
cs.SD2024
Zero-Shot Sing Voice Conversion: built upon clustering-based phoneme representations
Wangjin Zhou, Fengrun Zhang, Yiming Liu +3
This study presents an innovative Zero-Shot any-to-any Singing Voice Conversion (SVC) method, leveraging a novel clustering-based phoneme representation to effectively separate con…
cs.SD2023
Minimally-Supervised Speech Synthesis with Conditional Diffusion Model and Language Model: A Comparative Study of Semantic Coding
Chunyu Qiang, Hao Li, Hao Ni +5
Recently, there has been a growing interest in text-to-speech (TTS) methods that can be trained with minimal supervision by combining two types of discrete speech representations a…