A Linguistically Motivated Analysis of Intonational Phrasing in Text-to-Speech Systems: Revealing Gaps in Syntactic Sensitivity

28 May 2025

Papers citing "A Linguistically Motivated Analysis of Intonational Phrasing in Text-to-Speech Systems: Revealing Gaps in Syntactic Sensitivity"

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Title
MLS: A Large-Scale Multilingual Dataset for Speech Research Vineel Pratap Qiantong Xu Anuroop Sriram Gabriel Synnaeve R. Collobert AuLLM 45 488 0 07 Dec 2020
LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech Heiga Zen Viet Dang R. Clark Yu Zhang Ron J. Weiss Ye Jia Zhiwen Chen Yonghui Wu 43 933 0 05 Apr 2019
Neural Language Models as Psycholinguistic Subjects: Representations of Syntactic State Richard Futrell Ethan Gotlieb Wilcox Takashi Morita Peng Qian Miguel Ballesteros R. Levy MILM 102 193 0 08 Mar 2019
WaveNet: A Generative Model for Raw Audio Aaron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alex Graves Nal Kalchbrenner A. Senior Koray Kavukcuoglu DiffM 194 7,361 0 12 Sep 2016