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cs.CL2025
AzeroS: Extending LLM to Speech with Self-Generated Instruction-Free Tuning
Yiwen Shao, Wei Liu, Jiahong Li +4
Extending large language models (LLMs) to the speech domain has recently gained significant attention. A typical approach connects a pretrained LLM with an audio encoder through a…
eess.AS2025
DAIEN-TTS: Disentangled Audio Infilling for Environment-Aware Text-to-Speech Synthesis
Ye-Xin Lu, Yu Gu, Kun Wei +3
This paper presents DAIEN-TTS, a zero-shot text-to-speech (TTS) framework that enables ENvironment-aware synthesis through Disentangled Audio Infilling. By leveraging separate spea…
cs.SD2025
Efficient Scaling for LLM-based ASR
Bingshen Mu, Yiwen Shao, Kun Wei +2
Large language model (LLM)-based automatic speech recognition (ASR) achieves strong performance but often incurs high computational costs. This work investigates how to obtain the…