Transfer, similarity or lack of awareness? inconsistencies of German learners in the pronunciation of lot, thought, strut, palm and bath

The current study presents acoustic analyses of non-high back vowels and low central vowels in the lexical sets LOT, THOUGHT, STRUT, PALM and BATH as pronounced by German learners of English. The main objective is to show that learners of English at university level are highly inconsistent in approximating the vowels of their self-chosen target accents British English (BrE) and American English (AmE). To that end, the acoustic qualities of the English vowels of learners are compared to their native German vowels and to the vowels of native speakers of BrE and AmE. In order to facilitate statements about the effect of increased experience, the study differentiates between students in their first year at university and in their third year or later. The results obtained are highly variable: In some cases the learners transfer their L1 vowels to English, other cases show clear approximations to the target vowels, while other cases again document the production of new vowels neither found in German nor in English. However, close approximation to the target vowels only sometimes correlates with higher proficiency. This might be an indicator of a low level of awareness of systematic differences between the BrE and AmE vowel systems. But the data also indicate that the more advanced learners produce more distinct AmE BATH vowels and BrE THOUGHT vowels than the less advanced learners, which points to a partial increase of awareness resulting from increased experience. All in all it seems that raising the awareness of differences between target accents in L2 instruction is necessary if the envisage goal is for learners to reach near-native pronunciation

Exploring L1 Transfer in German Learners of English: High Front Vowels, High Back Vowels and the BED/BAD Distinction

Since the vowel systems of German and English are similar to some extent, German learners of English can be expected to transfer a considerable part of their German vowels to their L2 English. This paper traces the extent and source of positive and negative L1 transfer in two groups of university students from different German L1 backgrounds. To this end, acoustical analyses of three areas of vowel space are provided: high front vowels, high back vowels and mid/low front vowels. While positive transfer widely persists with high front vowels, learners refrain from consistently transferring high back vowels, probably owing to variability both in L1 German and in L2 English. In the case of mid/low front vowels negative transfer is reduced due to exposure to native English, and even more so due to formal instruction, which appears to accelerate the acquisition proces

Dutch Word Stress as Pronounced by Indonesian Students

This study focuses on the way in which the Dutch monophthongal vowels are pronounced by Indonesian students. To investigate whether Indonesian students realize the Dutch vowels correctly, especially when they are stressed, I analysed duration and quality of stressed and unstressed Dutch vowels. Measurements were done on the duration and the formant frequencies of the vowels spoken by Indonesian students and by native speakers of Dutch as well. Statistical analysis showed that in general the differences in duration between vowels spoken by the Indonesian students and by the native speakers were not significant. However, the effect of stress on the lengthening of the vowels was stronger for the Indonesian students than for the native speakers. In addition, statistical analysis of the formant frequencies confirmed that the non-native speakers realized the Dutch vowels slightly differently from the Dutch native speakers. The Indonesian students pronounced the stressed vowels more clearly than their unstressed counterparts; yet their vowel diagram is smaller than the vowel diagram of the native speakers

The effect of L1 regional variation on the perception and production of standard L1 and L2 vowels

This study reports on the perception and production of Standard Dutch and Standard British English vowels by speakers of two regional varieties of Belgian Dutch (East Flemish and Brabantine) which differ in their vowel realizations. Twenty-four native speakers of Dutch performed two picture-naming tasks and two vowel categorization tasks, in which they heard Standard Dutch or English vowels and were asked to map these onto orthographic representations of Dutch vowels. The results of the Dutch production and categorization tasks revealed that the participants’ L1 regional variety importantly influenced their production and especially perception of vowels in the standard variety of their L1. The two groups also differed in how they assimilated non-native English vowels to native vowel categories, but no major differences could be observed in their productions of non-native vowels. The study therefore only partly confirms earlier studies showing that L1 regional variation may have an influence on the acquisition of non-native language varieties

The internal representation of vowel spectra investigated using behavioral response-triggered averaging

Listeners presented with noise were asked to press a key 13 whenever they heard the vowels [a] or [i:]. The noise had a random spectrum, with levels in 60 frequency bins changing every 0.5 s. Reverse correlation was used to average the spectrum of the noise prior to each key press, thus estimating the features of the vowels for which the participants were listening. The formant frequencies of these reverse-correlated vowels were similar to those of their respective whispered vowels. The success of this response-triggered technique suggests that it may prove useful for estimating other internal representations, including perceptual phenomena like tinnitus

Speaker-sex discrimination for voiced and whispered vowels at short durations

Whispered vowels, produced with no vocal fold vibration, lack the periodic temporal fine structure which in voiced vowels underlies the perceptual attribute of pitch (a salient auditory cue to speaker sex). Voiced vowels possess no temporal fine structure at very short durations (below two glottal cycles). The prediction was that speaker-sex discrimination performance for whispered and voiced vowels would be similar for very short durations but, as stimulus duration increases, voiced vowel performance would improve relative to whispered vowel performance as pitch information becomes available. This pattern of results was shown for women’s but not for men’s voices. A whispered vowel needs to have a duration three times longer than a voiced vowel before listeners can reliably tell whether it’s spoken by a man or woman (∼30 ms vs. ∼10 ms). Listeners were half as sensitive to information about speaker-sex when it is carried by whispered compared with voiced vowels

Hungarian neutral vowels

In Hungarian, stems containing only front unrounded (neutral) vowels fall into two groups: one group taking front suffixes, the other taking back suffixes in vowel harmony. The distinction is traditionally thought of as purely lexical. Beňuš and Gafos (2007) have recently challenged this position, claiming that there are significant articulatory differences between the vowels in the two groups. Neutral vowels also occur in vacillating stems. These typically contain one back vowel and one or more neutral vowels, and accept both front and back suffixes, with extensive inter- and intra-speaker variation. Based on Beňuš and Gafos’s line of argument, the expectation is that vacillating stems will display a kind of phonetic realisation that is distinct from both harmonic and anti-harmonic stems. We present the results of an ongoing acoustic study on the acoustics of neutral vowels, partly re-creating Beňuš and Gafos’s conditions, but also including vacillating stems. To map the extent of individual and dialectal variation regarding vacillating stems, a grammaticality judgement test was also carried out on speakers of two dialects of Hungarian, crucially differing in the surface inventory of neutral vowels. We present our first findings about how this phonetic difference influences the phonological behaviour of vacillating stems

Is Infidelity Predictable? Using Explainable Machine Learning to Identify the Most Important Predictors of Infidelity.

Infidelity can be a disruptive event in a romantic relationship with a devastating impact on both partners' well-being. Thus, there are benefits to identifying factors that can explain or predict infidelity, but prior research has not utilized methods that would provide the relative importance of each predictor. We used a machine learning algorithm, random forest (a type of interpretable highly non-linear decision tree), to predict in-person and online infidelity across two studies (one individual and one dyadic, N = 1,295). We also used a game theoretic explanation technique, Shapley values, which allowed us to estimate the effect size of each predictor variable on infidelity. The present study showed that infidelity was somewhat predictable overall and interpersonal factors such as relationship satisfaction, love, desire, and relationship length were the most predictive of online and in person infidelity. The results suggest that addressing relationship difficulties early in the relationship may help prevent infidelity

Understanding Stress In The Operating Room: A Step Toward Improving The Work Environment

Job-related stress is an important factor predicting staff satisfaction and position turnover among nursing staff, particularly in the operating room. The purpose of this study was to examine the perceived amount of stress elicited by events in the perioperative environment, the frequency of those events, and the impact of those events on the perceived stress of operating room nurses (ORNs) and operating room technologists (ORTs). The Survey on Stress in the OR instrument, which was used to query the subjects, exhibited high internal consistency of all items. The findings indicated that the ORNs and the ORTs exhibited remarkable similarities between stressful events perceived as high and low impact. The two groups agreed that the highest impact stressful event was pressure to work more quickly. Using the results of this study, OR administrators may be able to redesign the OR environment to minimize the impact of stressful events and thereby improve job satisfaction and minimize nursing staff turnover

More Vowel Trigrams

In the February 1971 Word Ways, Delphi Knoxjaqzonville presented a list of words and names displaying vowel trigrams. However, she only considered the letters A, E, I, O and U as vowels, excluding Y. From five vowels 125 trigrams can be generated, while from six vowels the figure is 216. In her article, Miss Knoxjaqzonville gave examples of words and names which used most of the 125 AEIOU trigrams, and appealed to readers to search for words which used the 91 trigrams contianing the letter Y. I decided to respond to her appeal