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eess.AS2026
Experience-Calibrated Contrastive Decoding for Mitigating Hallucinations in LM-Based Text-to-Speech
Chenlin Liu, Minghui Fang, Zhonghao Bi +3
Language model-based text-to-speech (LM-based TTS) remains vulnerable to speech hallucinations that deviate from the target text. Existing mitigation mainly relies on architectural…
eess.AS2025
Mitigating Hallucinations in LM-Based TTS Models via Distribution Alignment Using GFlowNets
Chenlin Liu, Minghui Fang, Patrick Zhang +3
Language Model (LM)-based Text-to-Speech (TTS) systems often generate hallucinated speech that deviates from input text. Existing mitigation strategies either demand excessive trai…