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Julia Schwarz

Biographic Data

ID6614051
NAMEJulia Schwarz
GIVEN NAMESJulia
FAMILY NAMESchwarz
SIGNATURESCHWARZ J
AFFILIATIONSCollege of Wooster
ORCID0000-0003-2610-3588
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2026
H-INDEX0
  • What determines the success of AI voice-cloned speech? Prosodic and acoustic evidence on three TTS systems

    Open Access•Linda Bakkouche, Xinbing Luo et al.•ARTICLE•Phonetica•2026

    Artificial intelligence (AI) voice cloning systems have advanced rapidly, enabling applications in education and assistive technologies. Yet listeners’ perceptual ratings of naturalness and similarity remain inconsistent: some systems approach human-like quality, while others sound noticeably artificial. Here we present a comprehensive prosodic and computational analysis of voice-cloned speech across three voice-cloning systems (ElevenLabs, Style…

  • Apsa Teaching and Learning Conference and Track Summaries

    Open Access•Julia Schwarz, Jaira J Harrington et al.•ARTICLE•PS Political Science & Politics•2017

    This year's program committee organized a dynamic program of sessions and workshops around the theme "The 21st Century Classroom: Creating an Engaging Environment for All Students," focusing on best practices and inventive methodologies for the political science classroom

No prominent works on this page.

  • Apsa Teaching and Learning Conference and Track Summaries

    Open Access•Julia Schwarz, Jaira J Harrington et al.•ARTICLE•PS Political Science & Politics•2017

    This year's program committee organized a dynamic program of sessions and workshops around the theme "The 21st Century Classroom: Creating an Engaging Environment for All Students," focusing on best practices and inventive methodologies for the political science classroom

  • What determines the success of AI voice-cloned speech? Prosodic and acoustic evidence on three TTS systems

    Open Access•Linda Bakkouche, Xinbing Luo et al.•ARTICLE•Phonetica•2026

    Artificial intelligence (AI) voice cloning systems have advanced rapidly, enabling applications in education and assistive technologies. Yet listeners’ perceptual ratings of naturalness and similarity remain inconsistent: some systems approach human-like quality, while others sound noticeably artificial. Here we present a comprehensive prosodic and computational analysis of voice-cloned speech across three voice-cloning systems (ElevenLabs, Style…

Computer Science (1 work) · Content (measure theory (1 work) · Mathematics (1 work) · Multimedia (1 work) · Naturalness (1 work) · Neuroscience and Music Perception (1 work) · Operating system (1 work) · Perception (1 work) · Phonetics and Phonology Research (1 work) · Prosody (1 work)

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