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New TTS framework offers fine-grained control over cross-lingual accents

By PulseAugur Editorial · [1 sources] ·

Researchers have developed CrossAccent-TTS, a novel framework designed to improve cross-lingual text-to-speech (TTS) capabilities, particularly for low-resource Indic languages. The system introduces an Accent Intensity Controller (AIC) that allows for explicit control over accent characteristics and their intensity during speech synthesis. Experiments demonstrate that CrossAccent-TTS effectively controls accent strength while preserving speaker identity and naturalness, outperforming existing methods in accent similarity and controllability. AI

IMPACT Enhances control and naturalness in cross-lingual TTS, potentially improving accessibility for low-resource languages.

RANK_REASON Academic paper detailing a new method for text-to-speech synthesis. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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

New TTS framework offers fine-grained control over cross-lingual accents

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Pankaj Wasnik ·

    CrossAccent-TTS: Cross-Lingual Accent-Intensity Controllable Text-to-Speech via Disentangled Speaker and Accent Representations

    Accent conversion and controllability remain fundamental challenges in cross-lingual text-to-speech (TTS), particularly for low-resource and phonetically diverse Indic languages. While recent large language model (LLM)-based TTS systems exhibit strong cross-lingual generalization…

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