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New TTS system synthesizes Lombard speech with controllable style embeddings

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a novel text-to-speech (TTS) system capable of synthesizing Lombard-like speech without needing specific Lombard training data. This system, an extension of F5-TTS, uses learned style embeddings and principal component analysis to control vocal effort and articulation, allowing for adjustable Lombard levels. Experiments indicate the method maintains speaker identity and naturalness while enhancing intelligibility in noisy conditions, demonstrating a scalable framework for controllable zero-shot Lombard speech synthesis. AI

IMPACT This research offers a new method for generating more intelligible speech in noisy environments, potentially improving accessibility and communication tools.

RANK_REASON The cluster contains an academic paper detailing a new method for 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 TTS system synthesizes Lombard speech with controllable style embeddings

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The cluster contains an academic paper detailing a new method for 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) · Seymanur Akti, Alexander Waibel ·

    Zero-Shot Lombard Speech Synthesis with Controllable Style Embeddings

    arXiv:2601.12966v2 Announce Type: replace-cross Abstract: The Lombard effect plays a key role in natural communication, particularly in noisy environments or when addressing hearing-impaired listeners. We present a controllable text-to-speech (TTS) system capable of synthesizing …

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