eess.AS · 2026-07-01 · No. 40

Audio and Speech Processing, 2026-07-01.

2 new papers in eess.AS. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

2 entries
  1. 01

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

    Dominika Woszczyk, Andreas Triantafyllopoulos, Jura Miniota, Éva Székely, Bjoern Schuller

    eess.AS · cs.LG

    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 downstream use varies. We measure the appropriateness and human-likeness of five SOTA TTS systems across five domains: AI assistant, reader, actor, animated character, and...

    arxiv.org/abs/2606.31729 · PDF

  2. 02

    Improving multichannel speech enhancement through accurate room-acoustic simulations

    Georg Götz, Alessia Milo, Steinar Guðjónsson, Daniel Gert Nielsen, Jesper Pedersen, Finnur Pind

    eess.AS · cs.AI · cs.LG · cs.SD

    Room-acoustic simulations are widely used to augment training data for deep-learning-based speech enhancement. While most pipelines rely on simplified geometrical acoustics, wave-based approaches offer greater physical accuracy. In this work, we examine how simulation fidelity affects multichannel speech enhancement performance. To this end, we train SpatialNet on datasets augmented with different room-acoustic simulation methods and evaluate...

    arxiv.org/abs/2606.31552 · PDF

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