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token-level-alignment

topic2 events
papersSEP 10 04:00 UTC

X2-NativeCursor: Token-Level Text Progress Tracking for Streaming Incremental TTS

Researchers introduce X2-NativeCursor, a mechanism that lets incremental-text streaming TTS systems track which part of the input is currently being spoken. Since text usually arrives ahead of the audio, arrival timing alone cannot indicate spoken progress, so the method provides a token-level cursor for alignment. This supports features like synchronized highlighting, interruption handling, and real-time dialogue-history updates in speech applications.

papersSEP 10 04:00 UTC

SALT Method Improves Token-Level Representations in Cross-Lingual Sentence Encoders

A new arXiv paper introduces SALT, a technique for strengthening how individual tokens are represented within multilingual sentence encoders. These encoders are optimized to align whole sentences across many languages, supporting applications like translation mining and zero-shot learning for low-resource languages. The paper targets the weaker token-level alignment that results from this sentence-focused training.