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New LCG framework improves code-switching in text-to-speech synthesis

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new training-free framework called Phrase-Localized Language-Contrastive Guidance (LCG) to improve code-switching in text-to-speech synthesis. This method addresses the issue where phrases from a foreign language within an utterance are spoken with the primary language's accent. LCG applies language-specific guidance to each phrase, ensuring it retains its native accent, and uses a self-attention probing technique to identify phrase boundaries without needing external alignments. AI

IMPACT Enhances naturalness and accuracy in multilingual speech synthesis, potentially improving accessibility and user experience for global applications.

RANK_REASON The cluster describes a new academic paper detailing a novel method for improving text-to-speech synthesis. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New LCG framework improves code-switching in text-to-speech synthesis

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The cluster describes a new academic paper detailing a novel method for improving text-to-speech synthesis. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Che Hyun Lee, Sangkwon Park, Donghun Kang, Dongwook Lee, Youngho Cho, Heeseung Kim, Sungroh Yoon ·

    Phrase-Localized Language-Contrastive Guidance: Training-Free Localized Accent Control for Code-Switching Text-to-Speech

    arXiv:2609.01016v1 Announce Type: new Abstract: Current speech synthesis struggles with code-switching, which mixes a foreign language phrase into a primary language utterance, causing the phrase to be spoken with the primary language's accent rather than its native one. We propo…

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