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TTS evaluation shifts from naturalness to context-specific appropriateness

By PulseAugur Editorial · [2 sources] ·

A new paper explores the challenges in evaluating text-to-speech (TTS) systems, moving beyond just 'naturalness' to consider 'appropriateness' within specific contexts. The research indicates that TTS systems perform well for tasks like reading but struggle with more expressive domains such as acting or spontaneous speech. The study highlights that optimizing for one domain can negatively impact performance in others, and current evaluation metrics may not adequately capture the nuances required for diverse applications. AI

IMPACT Highlights the need for context-aware evaluation metrics in TTS, impacting the development of more versatile AI assistants and voice technologies.

RANK_REASON Academic paper on TTS evaluation methodology.

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

TTS evaluation shifts from naturalness to context-specific appropriateness

COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Dominika Woszczyk, Andreas Triantafyllopoulos, Jura Miniota, \'Eva Sz\'ekely, Bjoern Schuller ·

    Is Natural Always Appropriate? Investigating Naturalness and Appropriateness Across Different Domains for TTS Evaluation

    arXiv:2606.31729v1 Announce Type: cross Abstract: Text-to-speech (TTS) evaluation is an open challenge. While the primary target was "naturalness," recent fidelity gains shifted focus toward "appropriateness" and whether speech is correct for its context. In this work, we examine…

  2. arXiv cs.LG TIER_1 English(EN) · Bjoern Schuller ·

    Is Natural Always Appropriate? Investigating Naturalness and Appropriateness Across Different Domains for TTS Evaluation

    Text-to-speech (TTS) evaluation is an open challenge. While the primary target was "naturalness," recent fidelity gains shifted focus toward "appropriateness" and whether speech is correct for its context. In this work, we examine how perception changes when the expected downstre…

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