# SEAM: Spectral Embedding Alignment and Merging for Low-Resource TTS

> Source: <https://aiflash.com/news/137823/>
> Published: 2026-10-23 04:00:18+00:00

Expanding the vocabulary of conditional text-to-speech (TTS) models typically requires extensive fine-tuning with paired audio, creating a major bottleneck for low-resource and cross-lingual adaptation. To address this, we introduce SEAM, a zero-audio initialization method that constructs embeddings
