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

arXiv:2609.01016 · cs.CL, cs.SD · Submitted 2026-09-01 · Read on arXiv

cs.CL, cs.SD

Submitted: 2026-09-01

Updated: 2026-09-01

Project page: https://saga1214.github.io/PhraseLocalizedLCG

Terminology

• Alignment — 25× in this paper · explained in 1 episode
• Steering — 20× in this paper · explained in 2 episodes
• Benchmark — 14× in this paper · explained in 2 episodes
• Diffusion Model — 9× in this paper · explained in 8 episodes
• Accuracy — 7× in this paper · explained in 1 episode
• Consistency — 5× in this paper · explained in 3 episodes
• Diffusion Models — 5× in this paper · explained in 6 episodes
• Fine-Tuning — 5× in this paper · explained in 5 episodes
• Phrase-Localized Language-Contrastive Guidance — 5× in this paper
• Classifier-Free Guidance — 4× in this paper
• Ablation — 2× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Mixed Error Rate — 2× in this paper
• Transformer — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Actor — 1× in this paper · explained in 3 episodes
• Alternation — 1× in this paper · explained in 1 episode
• Amazon Mechanical Turk — 1× in this paper
• Computational overhead — 1× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 1× in this paper
• Decoupling — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Flow Matching — 1× in this paper · explained in 7 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Low-Resource Languages — 1× in this paper · explained in 4 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• Seed-TTS: A Family of High-Quality Versatile Speech Generation Models
• CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models
• LLaDA-TTS: Unifying Speech Synthesis and Zero-Shot Editing via Masked Diffusion Modeling
• MOSS-TTS Technical Report
• Stay on topic with Classifier-Free Guidance
• Qwen3-ASR Technical Report
• A Survey of Code-switched Speech and Language Processing
• X-Voice: Enabling Everyone to Speak 30 Languages via Zero-Shot Cross-Lingual Voice Cloning
• Selective Classifier-free Guidance for Zero-shot Text-to-speech
• OmniVoice: Towards Omnilingual Zero-Shot Text-to-Speech with Diffusion Language Models

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