Papers by Mikyas T. Desta

1 papers
Koel-TTS: Enhancing LLM based Speech Generation with Preference Alignment and Classifier Free Guidance (2025.emnlp-main)

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Challenge: Autoregressive speech token generation models suffer from hallucinations and undesired vocalizations that do not conform to conditioning inputs.
Approach: They propose an encoder-decoder transformer model that improves contextual adherence of speech token generation LLMs through preference alignment and classifier-free guidance.
Outcome: The proposed model outperforms previous LLM-based models on intelligibility, speaker similarity and naturalness.

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