- ARC Centre of Excellence for the Dynamics of Language, 2015, Department MemberThe University of Sheffield, Human Communication Sciences, Alumnus, and 4 moreadd
- Linguistics, Language Acquisition, Psycholinguistics, Second Language Acquisition, Sociophonetics, Applied Linguistics, and 17 moreSpeech perception, Phonetics, Phonology, Acoustic Phonetics, Speech Sciences, Developmental Psychology, Speech Communication, Accents, British Dialects and Accents, Sociolinguistics, Language Learning, Statistical Learning, Speech Acoustics, Auditory Perception, Vowels, Speech Production, and Dialects of Englishedit
- I am a speech and language researcher in the Linguistics Department at the University of Potsdam. I was recently awar... moreI am a speech and language researcher in the Linguistics Department at the University of Potsdam. I was recently awarded a grant from the Australian government to carry out a new project at the MARCS Institute (Western Sydney University) on "Dynamic properties of Australian vowels in production and perception" that examines the extent to which different properties in the speech signal can serve as distinct cues for (1) phoneme and speaker identity and (2) learning new words in non-native dialects. The first output is a paper (to be published in the Journal of the Acoustical Society of America) reporting on new Australian English data collected by Jaydene Elvin (MARCS Institute) as part of her PhD thesis. I hold a PhD from the University of Sheffield and Bachelors and Masters degrees from University College London (UCL). I am working on several other research projects that examine variability in speech production and perception which make use of acoustic analysis and behavioural and neuroimaging methods. My research involves colleagues from the MARCS Institute (Western Sydney University), Cardiff Metropolitan University and Australian National University.edit
Vowel inventories vary across languages in terms of the phonological vowel categories within them and the phonetic properties of individual vowels. The same also holds across different accents of a language. The four studies in this... more
Vowel inventories vary across languages in terms of the phonological vowel categories within them and the phonetic properties of individual vowels. The same also holds across different accents of a language. The four studies in this project address the role of listeners’ native accents in the cross-language acoustic and perceptual similarity of vowels. Study I explores the acoustic similarity of Northern Standard Dutch (NSD) vowels to the vowels in two accents of British English, namely Standard Southern British English (SSBE) and Sheffield English (SE), and demonstrates that some NSD vowels are acoustically most similar to different SSBE and SE vowels and that other NSD vowels differ in the degree of acoustic similarity to SSBE and SE vowels. Study II examines how SSBE and SE listeners use spectral properties to identify English monophthongs and finds that SSBE and SE listeners differ on some monophthongs, broadly in line with the spectral differences between naturally produced SSBE and SE vowels. Study III investigates SSBE and SE listeners’ discrimination accuracy of five NSD vowel contrasts, which cause British English learners of Dutch perceptual problems, and shows that SE listeners are generally less accurate than SSBE listeners. Study IV tests SSBE and SE listeners’ perceptual similarity of NSD vowels to English vowels and reveals that SSBE and SE listeners differ on some NSD vowels. The present findings demonstrate the influence of listeners’ differential linguistic experience on speech perception and underscore the importance of accounting for listeners’ particular native accents in cross-language studies.
Research Interests:
Aims and Objectives: This study investigates the effects of individual bilingualism and long-term language contact on monophthongal vowel productions in English and Welsh. Design: To this end, we recorded the Welsh and English vowel... more
Aims and Objectives:
This study investigates the effects of individual bilingualism and long-term language contact on monophthongal vowel productions in English and Welsh.
Design:
To this end, we recorded the Welsh and English vowel productions of two sets of Welsh-English bilinguals differing in home language use, as well as the English vowel productions of English monolinguals.
Data and analysis:
The data were analysed acoustically, with a focus on spectral and temporal properties. Comparisons were then made within each language and cross-linguistically.
Findings:
The results of a cross-linguistic acoustic comparison revealed a high degree of convergence in the monophthong systems of Welsh and English, but also some language-specific categories. Interestingly, at the individual level we found no effect of linguistic experience on vowel production: the two sets of bilinguals and the English monolinguals did not differ in their realisation of English vowels, and the two sets of bilinguals did not differ in their realisation of Welsh vowels.
Originality:
This is one of few studies to examine the effect of linguistic background on variation in Welsh and English bilingual speech, and the first to compare the speech of Welsh-English bilinguals and English monolinguals. More specifically, it investigates the extent to which a speaker’s home language can affect phonetic variation in a close-knit community of speakers and in a situation characterised by long-term language contact.
Implications:
The findings demonstrate pervasive phonetic convergence in a language contact situation with a historical substrate. They also indicate that a homogeneous peer group with shared values can override the effects of individual linguistic experience.
This study investigates the effects of individual bilingualism and long-term language contact on monophthongal vowel productions in English and Welsh.
Design:
To this end, we recorded the Welsh and English vowel productions of two sets of Welsh-English bilinguals differing in home language use, as well as the English vowel productions of English monolinguals.
Data and analysis:
The data were analysed acoustically, with a focus on spectral and temporal properties. Comparisons were then made within each language and cross-linguistically.
Findings:
The results of a cross-linguistic acoustic comparison revealed a high degree of convergence in the monophthong systems of Welsh and English, but also some language-specific categories. Interestingly, at the individual level we found no effect of linguistic experience on vowel production: the two sets of bilinguals and the English monolinguals did not differ in their realisation of English vowels, and the two sets of bilinguals did not differ in their realisation of Welsh vowels.
Originality:
This is one of few studies to examine the effect of linguistic background on variation in Welsh and English bilingual speech, and the first to compare the speech of Welsh-English bilinguals and English monolinguals. More specifically, it investigates the extent to which a speaker’s home language can affect phonetic variation in a close-knit community of speakers and in a situation characterised by long-term language contact.
Implications:
The findings demonstrate pervasive phonetic convergence in a language contact situation with a historical substrate. They also indicate that a homogeneous peer group with shared values can override the effects of individual linguistic experience.
Research Interests: Phonology, Welsh, Welsh linguistics, Language Acquisition, Phonetics, and 12 moreDialects of English, Sociolinguistics, Language Variation and Change, Speech Production, Sociophonetics, Bilingual Education, Speech Communication, Acoustic Phonetics, Adolescent, Bilingualism, Language contact, and British Dialects and Accents
Australian English (AusE) /iː/, /ɪ/ and /ɪə/ exhibit almost identical average first (F1) and second (F2) formant frequencies and differ in duration and vowel inherent spectral change (VISC). The cues of duration, F1 × F2 trajectory... more
Australian English (AusE) /iː/, /ɪ/ and /ɪə/ exhibit almost identical average first (F1) and second (F2) formant frequencies and differ in duration and vowel inherent spectral change (VISC). The cues of duration, F1 × F2 trajectory direction (TD) and length (TL) were assessed in listeners’ categorization of /iː/ and /ɪə/ compared to /ɪ/. Duration was important for distinguishing both /iː/ and /ɪə/ from /ɪ/. TD and TL were important for categorizing /iː/ versus /ɪ/, whereas only TL was important for /ɪə/ versus /ɪ/. Finally, listeners’ use of duration and VISC was not mutually affected for either vowel compared to /ɪ/.
© 2018 Acoustical Society of America
© 2018 Acoustical Society of America
Research Interests:
The present study investigated the extent to which variation along formant trajectory dimensions-considered both separately and simultaneously-manifests in the English diphthongs CHOICE, FACE, MOUTH, GOAT and PRICE. The sources of... more
The present study investigated the extent to which variation along formant trajectory dimensions-considered both separately and simultaneously-manifests in the English diphthongs CHOICE, FACE, MOUTH, GOAT and PRICE. The sources of variation were phonemic category, flanking consonants, speaker's gender and speaker's regional background. Formant trajectory dimensions were overall and time-varying first (F1) and second (F2) formant trajectories as parameterised by their means and time-varying slopes and curvature using the discrete cosine transform. Phonemic category was robustly predicted by variation in the combination of F1 and F2 means and slopes, whereas flanking consonants were not. Gender was strongly predicted by variation in F1 and F2 means, but not in F1 and F2 time-varying aspects. Regional background emerged in the variation of both F1 and F2 means, slopes and curvature to roughly similar extents. Given the acoustic multidimensionality of vowels, variation is most appropriately viewed with a multivariate approach.
Research Interests:
Second-language (L2) speech perception research has largely focused on learning to detect phonetic variation which contributes to phonemic differences. However, phonetic variation may emerge for other reasons, e.g., different speakers. In... more
Second-language (L2) speech perception research has largely focused on learning to detect phonetic variation which contributes to phonemic differences. However, phonetic variation may emerge for other reasons, e.g., different speakers. In native language acquisition, speech perception is flexible enough to permit speaker-related phonetic variation while at the same time preserving phonemic identity. In L2 speech learning, it remains unclear how speaker-related phonetic variation is learned or processed. To test how monolinguals and L2 learners handle speaker-related phonetic variation in detecting phonemic differences, the present study investigated the discrimination of novel words spoken in a familiar and unfamiliar accent. Compared to monolinguals, near-native L2 learners made slightly more errors overall and were quicker to attribute large phonetic differences to phonemic differences rather than speaker-related differences. This highlights the challenging task of learning naturally permissible variation in L2 phonemic categories.
Research Interests:
Generalised Additive Models (GAMs) provide a flexible way for modelling non-linear relationships, which is a welcome addition to research on vowel acoustics. If formant trajectory modelling is conducted solely within the confines of how... more
Generalised Additive Models (GAMs) provide a flexible way for modelling non-linear relationships, which is a welcome addition to research on vowel acoustics. If formant trajectory modelling is conducted solely within the confines of how GAMs are implemented in statistical packages, such as mgcv (Wood, 2017), there are some limitations with respect to how the acoustic (temporal and spectral) properties of vowels are to be modelled. This is because, for the time-varying properties of formant trajectories, mcgv disallows relationships between predictors and disallows relationships between dependent variables, meaning crossed and multivariate data structures, common in experimental designs, cannot be easily modelled. The present piece outlines a way in which the utility of GAMs for characterising formant trajectories of vowels might be (1) extended to such data structures and also (2) how theories of vowel perception can guide GAM modelling to capture perceptually relevant properties of formant trajectories. It is proposed that the use of GAMs can act as a “stepping stone” to analyses which can more closely reflect researchers’ data structures and research aims. An example of how GAMs might be used in this way is provided. It is concluded that further work is required to refine how the weaknesses of GAMs for capturing important data structure information can be compensated for, so that the strengths of GAMs for formant trajectory curve fitting can be fully capitalised on for research on vowel acoustics.