Approximating Phonotactic Input in Children’s Linguistic Environments from Orthographic Transcripts

Strömbergsson, Sofia; Edlund, Jens; Götze, Jana; Björkenstam, Kristina Nilsson

doi:10.21437/interspeech.2017-1634

Cited by 3 publications

(6 citation statements)

References 14 publications

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“…2 siːn.ˌjʉːs.ˌtoerk/) occurring in the corpora. The performance of this method has been tested for Swedish; Strömbergsson et al (2017) found the reliability of the generated phonemic transcripts to be satisfactory, with a point-by-point agreement with manual phonemic transcriptions of 94%.…”

Section: Methodsmentioning

confidence: 99%

“…Based on preliminary data presented in Strömbergsson et al (2017), where differences in phonotactic distributions were identified between different types of linguistic data within one and the same language, differences are expected also in what effects simulated error patterns may have. With fewer opportunities where an error pattern is applicable, the smaller the expected effect.…”

Section: Within the Same Language How Does Severity Vary Across A) Th...mentioning

confidence: 99%

“…Much research underlying the identification of universal and language-specific trends in children's speech and language acquisition has been based on distributional characteristics of adult language, for example, in the computing of probabilistic phonotactics (Stokes, 2014;Storkel, 2004). Although reports have shown that certain aspects of word frequency that influence children's phonological acquisition are insensitive to whether the analysis is based on adult or child data (Gierut & Dale, 2007), others have identified distributional differences in child data compared to adult data (Dollaghan, 1994;Strömbergsson et al, 2017), raising concerns that more ecologically valid sources should be preferred. The lack of valid sources is a problem which is being remediated through the steadily increasing availability of both child-directed and child-produced speech data, for example, through initiatives like CHILDES (MacWhinney, 2000), PhonBank (Rose & MacWhinney, 2014) and LENA (Ganek & Eriks-Brophy, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Simulating Speech Error Patterns Across Languages and Different Datasets

Strömbergsson¹,

Götze

Edlund

et al. 2021

Lang Speech

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Children’s speech acquisition is influenced by universal and language-specific forces. Some speech error patterns (or phonological processes) in children’s speech are observed in many languages, but the same error pattern may have different effects in different languages. We aimed to explore phonological effects of the same speech error patterns across different languages, target audiences and discourse modes, using a novel method for large-scale corpus investigation. As an additional aim, we investigated the face validity of five different phonological effect measures by relating them to subjective ratings of assumed effects on intelligibility, as provided by practicing speech-language pathologists. Six frequently attested speech error patterns were simulated in authentic corpus data: backing, fronting, stopping, /r/-weakening, cluster reduction and weak syllable deletion—each simulation resulting in a “misarticulated” version of the original corpus. Phonological effects were quantified using five separate metrics of phonological complexity and distance from expected target forms. Using Swedish child-speech data as a reference, phonological effects were compared between this reference and a) child speech in Norwegian and English, and b) data representing different modes of discourse (spoken/written) and target audiences (adults/children) in Swedish. Of the speech error patterns, backing—the one atypical pattern of those included—was found to cause the most detrimental effects, across languages as well as across modes and speaker ages. However, none of the measures reflects intuitive rankings as provided by clinicians regarding effects on intelligibility, thus corroborating earlier reports that phonological competence is not translatable into levels of intelligibility.

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Section: Methodsmentioning

confidence: 99%

Section: Within the Same Language How Does Severity Vary Across A) Th...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Simulating Speech Error Patterns Across Languages and Different Datasets

Strömbergsson¹,

Götze

Edlund

et al. 2021

Lang Speech

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“…For words not found in the pronunciation dictionary, phonological transcriptions were generated through grapheme-to-phoneme conversion (Bisani & Ney, 2008). For a more detailed description, see Strömbergsson, Edlund, Götze, and Nilsson Björkenstam (2017). Phonological transcription of observed speech production was conducted by two SLP students (authors MÖCA and CO).…”

Section: Speech Analysismentioning

confidence: 99%

Dealing with the unknown – addressing challenges in evaluating unintelligible speech

Alves

Odé

Strömbergsson

2019

Clinical Linguistics & Phonetics

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When investigating the interaction between speech production and intelligibility, unintelligible speech portions are often of particular interest. Therefore, the fact that the standard quantification of speech productionthe Percentage of Consonants Correct (PCC)is only computed on intelligible speech is unsatisfying. Our purpose was to evaluate a new quantification of speech production: the Percentage of Intelligible and Correct Syllables (PICS) designed to address this limitation. A secondary purpose was to explore a task designed to elicit connected speechconcurrent commentingoffering more control of intended speech production compared to free conversation. Nine children with SSD participated in four speech elicitation tasks, varying with respect to ecological validity, and to degree of control: (1) word imitation, (2) picture naming, (3) concurrent commenting of a silent short video, and (4) free conversation. Speech accuracy was analysed in terms of PCC-Revised (PCC-R) and PICS, and intelligibility with regards to the Proportion of Intelligible Syllables (PINTS). A strong correlation was observed between PICS and PCC-R, supporting the construct validity of PICS. Further, a moderate correlation was seen between PICS and PINTS, presumably reflecting that these measures capture differentalthough relatedconstructs. No difference was seen between concurrent commenting and free conversation in terms of articulation proficiency or intelligibility; however, this needs further investigation based on more data. Nevertheless, we suggest concurrent commenting as a useful method for eliciting connected speech; in retaining more control over intended target words compared to free conversation, this task may be particularly useful in the context of unintelligible speech.

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“…So far, studies on the effects of system response delays are rather scarce 3 and controversial. For instance 4 , reported that participants rated a system with 0.60 s faster reaction time as politer, more efficient and more transparent.…”

Section: Introductionmentioning

confidence: 99%

Effects of system response delays on elderly humans’ cognitive performance in a virtual training scenario

Wirzberger

Schmidt

Georgi

et al. 2019

Sci Rep

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Observed influences of system response delay in spoken human-machine dialogues are rather ambiguous and mainly focus on perceived system quality. Studies that systematically inspect effects on cognitive performance are still lacking, and effects of individual characteristics are also often neglected. Building on benefits of cognitive training for decelerating cognitive decline, this Wizard-of-Oz study addresses both issues by testing 62 elderly participants in a dialogue-based memory training with a virtual agent. Participants acquired the method of loci with fading instructional guidance and applied it afterward to memorizing and recalling lists of German nouns. System response delays were randomly assigned, and training performance was included as potential mediator. Participants’ age, gender, and subscales of affinity for technology (enthusiasm, competence, positive and negative perception of technology) were inspected as potential moderators. The results indicated positive effects on recall performance with higher training performance, female gender, and less negative perception of technology. Additionally, memory retention and facets of affinity for technology moderated increasing system response delays. Participants also provided higher ratings in perceived system quality with higher enthusiasm for technology but reported increasing frustration with a more positive perception of technology. Potential explanations and implications for the design of spoken dialogue systems are discussed.

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Approximating Phonotactic Input in Children’s Linguistic Environments from Orthographic Transcripts

Cited by 3 publications

References 14 publications

Simulating Speech Error Patterns Across Languages and Different Datasets

Simulating Speech Error Patterns Across Languages and Different Datasets

Dealing with the unknown – addressing challenges in evaluating unintelligible speech

Effects of system response delays on elderly humans’ cognitive performance in a virtual training scenario

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