Jason S Lilley, PhD

Assistant Research Scientist

Nemours Children's Hospital, Delaware 1600 Rockland Road Wilmington, DE 19803

Education

  • B.S. - University of New Orleans, Biological Sciences, 1995
  • B.S. - University of New Orleans, Chemistry, 1995
  • M.A. Linguistics - University of Delaware, Linguistics and Cognitive Science, 1999
  • M.S. - University of Illinois at Urbana Champaign, Chemistry, 1997
  • Ph.D. Linguistics - University of Delaware, Linguistics and Cognitive Science, 2012

  • A large-scale comparison of two voice synthesis techniques on intelligibility, naturalness, preferences, and attitudes toward voices banked by individuals with amyotrophic lateral sclerosis; Augmentative and Alternative Communication; (2024).

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  • Voice banking to support individuals who use speech-generating devices: development and evaluation of Singaporean-accented English synthetic voices and a Singapore Colloquial English recording inventory; Augmentative and Alternative Communication; (2023).

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  • Voicing neutralization in Romanian fricatives across different speech styles; Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH; (2022).

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  • Gender expansive listeners utilize a non-binary, multidimensional conception of gender to inform voice gender perception; Brain and Language; (2022).

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  • Exploring the front fricative contrast in Greek: A study of acoustic variability based on cepstral coefficients; Journal of the International Phonetic Association; (2021).

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  • Unsupervised training of a DNN-based formant tracker; Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH; (2021).

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  • Cues for Perception of Gender in Synthetic Voices and the Role of Identity; Interspeech 2020; (2020).

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  • A large-scale comparison of the intelligibility of unit-selection and deep-neural-network parametric synthetic voices generated from dysarthric speech; 2020 Meeting of the Acoustical Society of America; (2020).

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  • Acoustic classification of Russian plain and palatalized sibilant fricatives: Spectral vs. cepstral measures; Speech Communication; (2018).

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  • Cepstral coefficients successfully distinguish the front Greek fricatives; 2018 Meeting of the Acoustical Society of America; (2018).

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  • The Use of Machine Learning and Phonetic Endophenotypes to Discover Genetic Variants Associated with Speech Sound Disorder; Interspeech 2018; (2018).

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  • The model talker project: A web-based voice banking pipeline for als/mnd patients; Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH; (2017).

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  • Prediction of Speech Delay from Acoustic Measurements; Interspeech 2017; (2017).

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  • A comparison of cepstral coefficients and spectral moments in the classification of Romanian fricatives; Journal of Phonetics; (2016).

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  • Automatic classification of English fricatives using cepstral coefficients; 2016 Meeting of the Acoustical Society of America; (2016).

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  • Automating an objective measure of pediatric speech intelligibility; Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH; (2014).

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  • Automatic speech feature classification for children with cochlear implants; Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH; (2014).

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  • A Random, semantically appropriate sentence generator for speaker verification; 13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012; (2012).

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  • Perception of synthetic speech in adult users of cochlear implants; 13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012; (2012).

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  • Utterance verification for automating the Hearing in Noise Test (HINT); Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH; (2011).

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  • Classification of gender based on cepstral coefficients and spectral moments.; 2010 Meeting of the Acoustical Society of America; (2010).

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  • Automatic scoring of responses to the hearing in noise test using utterance verification based on hidden Markov models.; 2010 Meeting of the Acoustical Society of America; (2010).

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  • Classifying place of articulation and palatalization of fricatives based on cepstral coefficients and spectral moments.; The Journal of the Acoustical Society of America; (2009).

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  • Schwa variants in American english; Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH; (2008).

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  • ModelTalker voice recorder; Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies Demo Session - HLT '08; (2008).

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  • Analysis Methods for Assessing TTS Intelligibility; 6th ISCA Workshop on Speech Synthesis, SSW 2007; (2007).

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