Using PhonBank and Phon in studies of phonological development and disorders

Rose, Yvan; Stoel‐Gammon, Carol

doi:10.3109/02699206.2015.1041609

Cited by 10 publications

(4 citation statements)

References 29 publications

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“…Previous descriptions of Phon and of the functions it offers can be found within the published literature, 2,3,9 including in the area of phonological disorders. 8 The present article extends this documentation by focusing on the needs of practicing clinicians or clinical researchers and on how current functions within Phon can be used to address these needs. Whenever relevant, we offer an outlook on functions currently being developed, many of which also center on current needs in clinical phonology.…”

Section: Phonbank and Phonmentioning

confidence: 96%

“…However, CHILDES corpora, for the most part, are transcribed orthographically; technical limitations, such as incompatibilities between different sets of phonetic characters, hindered the development of a standard level of phonological coding. Although many proposals to address these issues have been put forward since the 1990s, none of them combined all the features needed for a fully functional solution (see Rose and colleagues for an overview of early systems 3,8 ). Previous descriptions of Phon and of the functions it offers can be found within the published literature, 2,3,9 including in the area of phonological disorders.…”

Section: Phonbank and Phonmentioning

confidence: 99%

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Analyzing Clinical Phonological Data Using Phon

Byun

Rose

2016

Semin Speech Lang

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In this paper, we describe how Phon, a software program for the transcription and analysis of phonological data, can be applied to facilitate clinical phonological analyses. We begin with a summary of the types of analyses that are frequently used in the assessment and management of speech sound disorders. We then discuss challenges inherent to the transcription and analysis of clinical phonological data. For each challenge, we discuss solutions currently available within Phon, and offer an outlook on future methodological and technical developments in the area of clinical phonology. This paper includes a step-by-step introduction to Phon suitable for readers who lack previous experience with the software. We conclude with a discussion of data sharing and its vital role in advancing research and intervention practices in the area of speech development and disorders.

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Section: Phonbank and Phonmentioning

confidence: 96%

Section: Phonbank and Phonmentioning

confidence: 99%

Analyzing Clinical Phonological Data Using Phon

Byun

Rose

2016

Semin Speech Lang

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“…Since its inception in 2006, the PhonBank database project has developed methods and technologies for speech corpus building and phonological/phonetic analysis. The PhonBank repository of speech corpora, and the accompanying open-source software Phon (https://www.phon.ca) 1 , were developed for the study of language acquisition and have become increasingly relevant to the study of speech disorders (e.g., McAllister Byun & Rose, 2016;Rose & Stoel-Gammon, 2015). The PhonBank database now includes a series of clinical corpora documenting speech patterns across populations of typical and atypical language learners.…”

Section: Reproducibility and Open Access Speech Corporamentioning

confidence: 99%

Reproducible Speech Research With the Artificial Intelligence–Ready PERCEPT Corpora

Benway

Preston

Hitchcock

et al. 2023

J Speech Lang Hear Res

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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.

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“…As reported in Rose and Stoel-Gammon (2015), research in the areas of phonological development and phonological disorders comes from two relatively disparate fields of study with different goals and different methods of collecting and analysing data. One field, composed primarily of educators, speech-language pathologists, and psychologists, seeks to establish norms for phonological acquisition in children with typical development with the goal of identifying those children with atypical development.…”

Section: Phonbankmentioning

confidence: 99%

Fostering human rights through TalkBank

MacWhinney

Fromm

Rose

et al. 2017

International Journal of Speech-Language Pathology

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In accord with articles 19 and 27 of the Universal Declaration of Human Rights, people with speech and language disorders have the right to receive maximal benefit from academic research on speech and language acquisition and disorders. To evaluate the diverse nature of speech and language disorders, this research must have access to large datasets, as well as to refined tools for the systematic analysis of these datasets. The TalkBank system addresses this need by providing researchers with thousands of hours of open-access database archives of digital audio, video and transcript files documenting typical and disordered language use in dozens of languages and cultures. In this paper, we review the TalkBank system, with an emphasis on the AphasiaBank, PhonBank and FluencyBank databases. We describe how specialised assessment tools can be used to study issues in speech and language acquisition and disorders recorded within these databases. We then provide illustrations of how assessments support the needs of researchers, clinicians, developers, and educators, whose combined work contributes solutions for people with speech, language and language learning disorders worldwide.

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Using PhonBank and Phon in studies of phonological development and disorders

Cited by 10 publications

References 29 publications

Analyzing Clinical Phonological Data Using Phon

Analyzing Clinical Phonological Data Using Phon

Reproducible Speech Research With the Artificial Intelligence–Ready PERCEPT Corpora

Fostering human rights through TalkBank

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