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Related Experiment Video

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Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

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Reproducible Speech Research With the Artificial Intelligence-Ready PERCEPT Corpora.

Nina R Benway¹, Jonathan L Preston^1,2, Elaine Hitchcock³

¹Department of Communication Sciences & Disorders, Syracuse University, NY.

Journal of Speech, Language, and Hearing Research : JSLHR

|June 15, 2023

Summary

New speech corpora (PERCEPT-R and PERCEPT-GFTA) offer over 36 hours of audio data for children and adolescents with speech sound disorders. These resources support reproducible research and clinical education in speech pathology.

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Area of Science:

Speech-language pathology
Computational linguistics
Developmental psychology

Background:

Publicly available speech corpora enable reproducible research and clinical education.
These datasets support perceptual training and the use of speech analysis tools.

Purpose of the Study:

Introduce the PERCEPT (Perceptual Error Rating for the Clinical Evaluation of Phonetic Targets) corpora: PERCEPT-R (Rhotics) and PERCEPT-GFTA (Goldman-Fristoe Test of Articulation).
Provide over 36 hours of speech audio data from individuals aged 6-24 with and without speech sound disorders, focusing on /ɹ/.
Highlight PhonBank as the repository and demonstrate the use of Phon software for data analysis.

Main Methods:

Collected and curated over 36 hours of speech audio data.
Organized data into PERCEPT-R and PERCEPT-GFTA corpora.
Utilized PhonBank for data repository and Phon software for analysis.

Main Results:

The PERCEPT corpora contain over 125,000 syllable, word, and phrase utterances.
Demonstrated the utility of PERCEPT-R with Phon software through a research example.
Established a Slack channel for user support and future data release information.

Conclusions:

PERCEPT corpora, PhonBank, and Phon facilitate clinical training and research in child speech.
These resources can enhance the reproducibility of studies on speech development and disorders.
Potential exists for training artificial intelligence clinical speech technology for children with speech sound disorders.