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Yizhong Geng

3 accepted papers

2026

Bridging the Stability-Expressivity Gap: Synthetic Data Scaling and Preference Alignment for Low-Resource Spoken Language Models

ICML 2026poster

Spoken Language Models (SLMs) revolutionize speech synthesis by bypassing traditional linguistic front-ends, yet they remain limited by the digital resource disparities across languages. We investigate these challenges within the Southeast Asian linguistic landscape, using the phonetically complex T…

Cited by 0SourceScholar
2025

DetailTTS: Learning Residual Detail Information for Zero-shot Text-to-speech

ICASSP 2025accepted

Traditional text-to-speech (TTS) systems often face challenges in aligning text and speech, leading to the omission of critical linguistic and acoustic details. This misalignment creates an information gap, which existing methods attempt to address by incorporating additional inputs, but these often…

Cited by 0SourceScholar