61 research outputs found
A shift of allegiance: The case of Erie and the North / Midland boundary
The city of Erie, Pennsylvania represents an anomalous case in the dialect geography of North America. According to all available historical records, it was linguistically aligned with the North in the early part of the 20 th century: the lexical data presented in Kurath (1949) and Carver (1987) locate Erie within most of the Northern isoglosses, and the phonological data presented in Kurath and McDavid (1961) show that Erie shared nearly all of its phonological features with the North and only a few with the Midland. However, recent research for the Atlas of North American English (Labov et al. 2006) shows that Erie is now a Midland city, and the two ANAE speakers from Erie show no traces of the Northern Cities Shift. Crucially, the two pivot points in the vowel system, as defined by Labov (1991), show clear Midland characteristics: short-a exhibits raising before all nasals, but not the general raising of the NCS, and both speakers have a complete merger of the vowels in cot and caught.
Erie’s shift from being a Northern city to a Midland city is surprising given that the North/Midland boundary is the most clearly defined dialect boundary in North America today (Labov et al. 2006). Furthermore, it would not be predicted by dialect diffusion models that only take population and distance into account, such as Trudgill’s (1974) Gravity Model: Buffalo and Cleveland, the large Northern Cities along Lake Erie on either side of Erie are more populous and closer to Erie than Pittsburgh, the nearest large Midland city.
The current study provides a more detailed characterization of Erie, and presents vowel measurements from seven Erieites, ranging in age from 25 to 60. I n general, the results confirm ANAE’s finding that Erie is aligned with the Midland. H owever, the vowels systems of the Erie speakers are different from the neighboring Midland speakers in two respects. First of all, /ow/ does not participate in the strong fronting that is characteristic of Pittsburgh/Western PA: only the youngest speaker (a 25-year-old female) shows an F2 value for /ow/ that is higher than would be expected for a Northern speaker. Furthermore, while all speakers clearly have the low-back merger, the phonetic realization of the resulting phoneme is unrounded and lower than the distinctly rounded and raised open-o of the Pittsburgh area. Thus, while Erie is clearly phonologically aligned with Pittsburgh, the two regions are not phonetically identical.
This realignment with the Midland suggests that Pittsburgh has had a stronger influence on Erie since the middle of the 20 th century than either of the two large nearby Northern cities. Qualitative evidence from sociolinguistic interviews will be presented to confirm this and to show that Erieites have more contact with speakers from Pittsburgh than either Buffalo or Cleveland. Much of this contact stems from the popularity of Erie as a summer vacation destination for residents of Pittsburgh, evidenced by the fact that some Erieites refer to these summer vacationers from Pittsburgh as mups (from come up ). It will be argued that this higher density of communication caused Erie to shift its phonological allegiance from the North to the Midland, and, consequently, that any model of dialect diffusion must take communication patterns into account in order to be fully explanatory
The permeability of dialect boundaries: a case study of the region surrounding Erie, Pennsylvania
This dissertation presents a dialectological study of the city of Erie, Pennsylvania, and the neighboring towns in the boundary area between the North and Midland dialect regions. The field work conducted for this dissertation consists of interviews, word lists, minimal pair tests, and grammatical acceptability judgments. In total, data from 106 speakers was analyzed to determine the course of linguistic change in the city of Erie and the current location of the dialect boundaries in the neighboring regions. In order to process the acoustic data from this large corpus, the methodology of transcription and subsequent forced alignment was applied. In order to reduce error in the formant measurements, automatic techniques for measurement point selection and formant prediction were developed. The acoustic analysis focuses on aspects of the vowel system that differentiate the North and the Midland. The results show that the merger of /o/ and /oh/ began in the city of Erie before 1900, and that it subsequently spread to Ripley, NY. On the other hand, Erie is still located on the Northern side of the boundary with respect to the fronting of the back upgliding vowels /uw/, /ow/, and /aw/. Finally, an analysis of the lexical and morphosyntactic variables shows a widespread acceptability of the Midland features in Erie. In the final section of the dissertation, the early settlement history of the region is examined, and Erie\u27s acceptance of several Midland features is explained by the early presence of a large contingent of non-Northern, especially Scots-Irish, settlers
An Eleméntà ry Linguistic Definition of Upstate New York
This paper examines a hitherto undiscussed dialectological feature of Upstate New York: the pronunciation of words like elementary (documentary, complimentary, etc.) as eleméntà ry, with secondary stress on the penultimate syllable. We report the results of three studies examining the geographic distribution of this feature. In the first study, data from 119 sociolinguistic interviews in communities in eastern New York establish the widespread usage of the feature in this region. In the second study, data from 59 sociolinguistic interviews in far western New York and northwestern Pennsylvania show that the geographic extent of the feature hews very close to the New York–Pennsylvania state line in that region. The third study is a rapid and anonymous telephone survey of the lexical item elementary including 188 towns across the entire state of New York and nearby parts of adjacent states. This study finds that the stressed-penultimate pattern is nearly confined to Upstate New York, bleeding only into the Northern Tier of counties in Pennsylvania and a few towns in southwestern Vermont. In addition to providing empirical evidence for the geographic extent of this dialectolgical feature, this study analyzes the relationship between the distribution of the -méntà ry pronunciation and other isoglosses that serve as boundaries between major dialect regions in the area. The analysis shows that the geographic extent of the -méntà ry pronunciation does not always pattern closely with dialect regions defined by phonological criteria; rather, it coincides more closely with the cultural boundary delimiting the region of Upstate New York. We argue that this type of linguistic boundary is caused primarily by communication patterns (as opposed to constraints internal to the linguistic system), and that it is more likely to be observed in variants involving analogical change, such as the -méntà ry pronunciation
Do face masks introduce bias in speech technologies? The case of automated scoring of speaking proficiency
The COVID-19 pandemic has led to a dramatic increase in the use of face masks
worldwide. Face coverings can affect both acoustic properties of the signal as
well as speech patterns and have unintended effects if the person wearing the
mask attempts to use speech processing technologies. In this paper we explore
the impact of wearing face masks on the automated assessment of English
language proficiency. We use a dataset from a large-scale speaking test for
which test-takers were required to wear face masks during the test
administration, and we compare it to a matched control sample of test-takers
who took the same test before the mask requirements were put in place. We find
that the two samples differ across a range of acoustic measures and also show a
small but significant difference in speech patterns. However, these differences
do not lead to differences in human or automated scores of English language
proficiency. Several measures of bias showed no differences in scores between
the two groups
Assessment of non-native speech using vowel space characteristics
In this paper, we propose the idea of using the characteris-tics of a speaker’s vowel space for automated assessment of second language (L2) proficiency. Specifically, we adpot fea-tures that were shown in previous studies to be good indica-tors of native speaker intelligibility and clarity and apply them to L2 speech from non-native speakers. The features focus on three peripheral vowels (IY, AA, and OW) and measure a speaker’s coverage of the vowel space. A pilot study and a large-scale corpus study involving read speech produced by native and non-native speakers were conducted in which the vowel space features were rank correlated with pronunciation scores provided by human listeners for the non-native speech and an assumed higher score for the native speech. The results of the studies show that several of the features achieve moder-ately high correlations with the pronunciation scores, support-ing their usefulness for automated assessment of non-native speech. The feature with the best performance in the large-scale study was the F2 − F1 distance for IY, which achieved a correlation of 0.78 with pronunciation proficiency scores. Index Terms: speech assessment, phonetics, vowel quality 1
Applying rhythm metrics to non-native spontaneous speech
This study investigates a variety of rhythm metrics on two corpora of non-native spontaneous speech and compares the nonnative distributions to values from a corpus of native speech. Several of the metrics are shown to differentiate well between native and non-native speakers and to also have moderate correlations with English proficiency scores that were assigned to the non-native speech. The metric that had the highest correlation with English proficiency scores (apart from speaking rate) was rPVIsyl (the raw Pairwise Variability Index for syllables), with r = −0.43. Index Terms: Rhythm metrics, non-native speech, fluency 1
The INTERSPEECH 2016 Computational Paralinguistics Challenge: Deception, Sincerity & Native Language
Speeching: Mobile Crowdsourced Speech Assessment to Support Self-Monitoring and Management for People with Parkinson's
We present Speeching, a mobile application that uses crowdsourcing to support the self-monitoring and management of speech and voice issues for people with Parkinson's (PwP). The application allows participants to audio record short voice tasks, which are then rated and assessed by crowd workers. Speeching then feeds these results back to provide users with examples of how they were perceived by listeners unconnected to them (thus not used to their speech patterns). We conducted our study in two phases. First we assessed the feasibility of utilising the crowd to provide ratings of speech and voice that are comparable to those of experts. We then conducted a trial to evaluate how the provision of feedback, using Speeching, was valued by PwP. Our study highlights how applications like Speeching open up new opportunities for self-monitoring in digital health and wellbeing, and provide a means for those without regular access to clinical assessment services to practice-and get meaningful feedback on-their speech
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