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 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.

Exploring word production in three-year-old monolingual French-speaking children.

There is a general need for more knowledge on the development of French phonology, and little information is currently available for typically developing French-speaking three-year-old children. This study took place in Belgium and explores the accuracy of speech production of 34 typically developing French-speaking children using a picture naming task. Measures of speech accuracy revealed lower performance than previously seen in the literature.

The development of preverbs in Northern East Cree: A longitudinal case study.

This study is based on naturalistic speech samples produced by one child learning Cree as her first language (2;01-4;03) and presents the first investigation into the development of preverbs in the language. Preverbs are an optional class of morpheme which precede the lexical verb stem, dividing into grammatical, lexical and directional (deictic) subclasses. Of nine preverb types in the child's inventory, 47/48 tokens are grammatical.

Language and Learner Specific Influences on the Emergence of Consonantal Place and Manner Features.

This article focuses on the emergence of consonantal place and manner feature categories in the speech of first language learners. Starting with an overview of current representational approaches to phonology, we take the position that only models that allow for the emergence of phonological categories at all levels of phonological representation (from sub-segmental properties of speech sounds all the way to word forms represented within the child's lexicon) can account for the data. We begin with a cross-linguistic survey of the acquisition of rhotic consonants.

Automated phonological analysis and treatment target selection using AutoPATT.

Automated analyses of speech samples can offer improved accuracy and timesaving advantages that streamline clinical assessment for children with a suspected speech sound disorder. In this paper, we introduce AutoPATT, an automated tool for clinical analysis of speech samples. This free, open-source tool was developed as a plug-in for Phon and follows the procedures of the Phonological Analysis and Treatment Target Selection protocol, including extraction of a phonetic inventory, phonemic inventory with corresponding minimal pairs, and initial consonant cluster inventory.

Markedness and implicational relationships in phonological development: A cross-linguistic investigation.

Purpose: The complexity approach to speech disorders, based on the theoretical notion of phonological markedness, has been gaining interest over the last decade. In a nutshell, this approach suggests that the acquisition of phonologically marked units (e.g.

There is no phonology without abstract categories: A commentary on.

Ambridge's proposal cannot account for the most basic observations about phonological patterns in human languages. Outside of the earliest stages of phonological production by toddlers, the phonological systems of speakers/learners exhibit internal behaviours that point to the representation and processing of inter-related units ranging in size from sub-segmental (featural) and segmental to larger prosodic units ranging from the syllable all the way to the phonological utterance. Only theories which embrace these units can make proper predictions about phonological behaviours.

Questioning the role of lexical contrastiveness in phonological development: Converging evidence from perception and production studies.

In this article, we address relations between lexical and phonological development, with an emphasis on the notion of phonological contrast. We begin with an overview of the literature on word learning and on infant speech perception. Among other results, we report on studies showing that toddlers' perceptual abilities do not correlate with the development of phonological contrasts within their lexicons.

Fostering human rights through TalkBank.

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.

Analyzing Clinical Phonological Data Using Phon.

In this article, we describe how Phon, an open-source 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.

[The phonological profile of children with speech sound disorders].

Concern over reduced intelligibility in a child is a common reason for consulting a speech-language pathologist. Nevertheless, there is little published research on speech sound disorders among French-speaking children. As a result, speech-language pathologists must rely on their clinical expertise or on research involving children who speak other languages, often the English language.

Using PhonBank and Phon in studies of phonological development and disorders.

The goal of this paper is to present an overview of new tools that can be used to further our understanding of phonological development and disorders. We begin with a summary of the field of child phonology with a focus on databases and methods of analysis and then move to a description of PhonBank, a shared database for the study of phonology, and Phon, a specialised software system capable of performing various types of phonological analyses based on both phonetic transcriptions and acoustic analyses of speech productions. We provide a detailed example of using PhonBank and Phon to examine the use of velar fronting using longitudinal data from one child with typical development and three children with phonological disorder.

Stress Domain Effects in French Phonology and Phonological Development.

In this paper, we discuss two distinct data sets. The first relates to the so-called allophonic process of closed-syllable laxing in Québec French, which targets final (stressed) vowels even though these vowels are arguably syllabified in open syllables in lexical representations. The second is found in the forms produced by a first language learner of European French, who displays an asymmetry in her production of CVC versus CVCV target (adult) forms.