Reproducible Speech Research With the Artificial Intelligence–Ready PERCEPT Corpora.
Background: Publicly available speech corpora facilitate reproducible research by providing open-access data for participants who have consented/assented to data sharing among different research teams. Such corpora can also support clinical education, including perceptual training and training in th...
| Publicado en: | Journal of Speech, Language & Hearing Research Vol. 66; no. 6; pp. 1986 - 2010 |
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| Autores principales: | , , , , , , |
| Formato: | Artículo |
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American Speech-Language-Hearing Association
Jun2023
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=164422020&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 164422020 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10924388 1SM jtl: Journal of Speech, Language & Hearing Research issn: 10924388 maglogo: N pubinfo: dt: Jun2023 vid: 66 iid: 6 pid: 42 pub: American Speech-Language-Hearing Association artinfo: ui: 164422020 10.1044/2023_JSLHR-22-00343 ppf: 1986 ppct: 24 formats: fmt: @attributes: type: P size: 4.6MB tig: atl: Reproducible Speech Research With the Artificial Intelligence–Ready PERCEPT Corpora. aug: au: Benway, Nina R. Preston, Jonathan L. Hitchcock, Elaine Rose, Yvan Salekin, Asif Liang, Wendy McAllister, Tara affil: Department of Communication Sciences & Disorders, Syracuse University, NY. Haskins Laboratories, New Haven, CT. Department of Communication Sciences and Disorders, Montclair State University, NJ. Department of Linguistics, Memorial University, St. John’s, Newfoundland and Labrador, Canada. Department of Electrical Engineering and Computer Science, Syracuse University, NY. Department of Communicative Sciences and Disorders, New York University, NY. su: Speech disorders Artificial intelligence Phonetics Research evaluation Speech evaluation Articulation disorders Software architecture Descriptive statistics Data analysis software Evaluation sug: subj: Speech disorders Artificial intelligence Phonetics Computer systems design and related services (except video game design and development) Research evaluation Speech evaluation Articulation disorders Software architecture Descriptive statistics Data analysis software Evaluation ab: Background: Publicly available speech corpora facilitate reproducible research by providing open-access data for participants who have consented/assented to data sharing among different research teams. Such corpora can also support clinical education, including perceptual training and training in the use of speech analysis tools. Purpose: In this research note, we 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), which together contain over 36 hr of speech audio (> 125,000 syllable, word, and phrase utterances) from children, adolescents, and young adults aged 6– 24 years with speech sound disorder (primarily residual speech sound disorders impacting /ɹ/) and age-matched peers. We highlight PhonBank as the repository for the corpora and demonstrate use of the associated speech analysis software, Phon, to query PERCEPT-R. A worked example of research with PERCEPT-R, suitable for clinical education and research training, is included as an appendix. Support for end users and information/descriptive statistics for future releases of the PERCEPT corpora can be found in a dedicated Slack channel. Finally, we discuss the potential for PERCEPT corpora to support the training of artificial intelligence clinical speech technology appropriate for use with children with speech sound disorders, the development of which has historically been constrained by the limited representation of either children or individuals with speech impairments in publicly available training corpora. Conclusions: We demonstrate the use of PERCEPT corpora, PhonBank, and Phon for clinical training and research questions appropriate to child citation speech. Increased use of these tools has the potential to enhance reproducibility in the study of speech development and disorders. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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