Attitudes toward Jordanian Arabic-Accented English among Native and Non-native Speakers of English

This paper explores attitudes toward Jordanian Arabic-accented English among native and non-native speakers of English. Three groups of listeners (native English speakers, Jordanian Arab specialists and non-specialists in English) were asked to rate three groups of speakers (a group of native English speakers and two groups of Jordanian Arabic bilinguals) reading a short story in English on the degree of foreign accentedness, friendliness, pleasantness and clarity. The results showed that the Jordanian Arabic speakers, especially those with a lower level of English, were perceived less favourably than the native speakers. Furthermore, the English native listeners generally had more favourable perceptions than the non-native listeners with regard to the non-native speakers. The degree of foreign-accentedness was highly correlated with attitudes toward non-native speakers, especially among the non-native speakers themselves. The results confirm that a native English accent is preferred over non-native accents.

Segmental error patterns in Finnish-accented English

Research suggests that explicit pronunciation teaching improves second language speech production, but language teachers often lack the relevant knowledge to teach pronunciation. This study examined segmental error patterns in Finnish-accented English and the relationship between segmental errors and foreign accent ratings in two groups differing in amount of second language experience. Our study identified a number of common segmental error patterns in Finnish-accented English, which may guide formal pronunciation instruction. We further found that the sheer number of segmental errors in a sentence affected foreign accent ratings as did the number of vowel errors in a sentence. We speculate that the detrimental effect of vowel errors may be related to the finding that vowel errors resulted in non-English segments more often than consonant errors did. Finally, we found a facilitative effect of second language experience on foreign accent rating that cannot be reduced to number of segmental errors, despite the finding that number of consonant errors was reduced with increased second language experience.

Teaching teachers phonetics: The design and implementation of an asynchronous online English phonetics course

It is axiomatic that one of the chief goals of an applied linguistics program is to instruct teachers in the intricacies of English language structure. Explicit knowledge of the target language can help domestic and international teachers when dealing with adult 2nd language learners. But while most programs offer courses in English grammar, we found a paucity of (online) phonetics classes. We discuss three characteristics to be included in an online phonetics course: the description and learning of the sounds of the world’s languages, the technology-based collaborative procedures to narrowly transcribe a wide range of accented English speech, and the specific design to engage a variety of online students. Particular attention is devoted to our unique collaborative online project that at once trains students in the phonetic analysis of non-native speech. The results of these analyses are contributed to the online database, the speech accent archive (accent.gmu.edu), thereby giving students ownership of a publicly available online archive. The outcomes are described, with justifications and specific methods for measuring them. This paper emphasizes that learning to narrowly transcribe leads to enhanced listening and analysis, and that peer-to-peer collaboration is vital for any asynchronous online class.

Behavioral Pattern Analysis between Bilingual and Monolingual Listeners’ Natural Speech Perception on Foreign-Accented English Language Using Different Machine Learning Approaches

Speech perception in an adverse background/noisy environment is a complex and challenging human process, which is made even more complicated in foreign-accented language for bilingual and monolingual individuals. Listeners who have difficulties in hearing are affected most by such a situation. Despite considerable efforts, the increase in speech intelligibility in noise remains elusive. Considering this opportunity, this study investigates Bengali–English bilinguals and native American English monolinguals’ behavioral patterns on foreign-accented English language considering bubble noise, gaussian or white noise, and quiet sound level. Twelve regular hearing participants (Six Bengali–English bilinguals and Six Native American English monolinguals) joined in this study. Statistical computation shows that speech with different noise has a significant effect (p = 0.009) on listening for both bilingual and monolingual under different sound levels (e.g., 55 dB, 65 dB, and 75 dB). Here, six different machine learning approaches (Logistic Regression (LR), Linear Discriminant Analysis (LDA), K-nearest neighbors (KNN), Naïve Bayes (NB), Classification and regression trees (CART), and Support vector machine (SVM)) are tested and evaluated to differentiate between bilingual and monolingual individuals from their behavioral patterns in both noisy and quiet environments. Results show that most optimal performances were observed using LDA by successfully differentiating between bilingual and monolingual 60% of the time. A deep neural network-based model is proposed to improve this measure further and achieved an accuracy of nearly 100% in successfully differentiating between bilingual and monolingual individuals.

Effects of Spectral Envelope and Fundamental Frequency Shifts on the Perception of Foreign-Accented Speech

To investigate the role of spectral pattern information in the perception of foreign-accented speech, we measured the effects of spectral shifts on judgments of talker discrimination, perceived naturalness, and intelligibility when listening to Mandarin-accented English and native-accented English sentences. In separate conditions, the spectral envelope and fundamental frequency (F0) contours were shifted up or down in three steps using coordinated scale factors (multiples of 8% and 30%, respectively). Experiment 1 showed that listeners perceive spectrally shifted sentences as coming from a different talker for both native-accented and foreign-accented speech. Experiment 2 demonstrated that downward shifts applied to male talkers and the largest upward shifts applied to all talkers reduced the perceived naturalness, regardless of accent. Overall, listeners rated foreign-accented speech as sounding less natural even for unshifted speech. In Experiment 3, introducing spectral shifts further lowered the intelligibility of foreign-accented speech. When speech from the same foreign-accented talker was shifted to simulate five different talkers, increased exposure failed to produce an improvement in intelligibility scores, similar to the pattern observed when listeners actually heard five foreign-accented talkers. Intelligibility of spectrally shifted native-accented speech was near ceiling performance initially, and no further improvement or decrement was observed. These experiments suggest a mechanism that utilizes spectral envelope and F0 cues in a talker-dependent manner to support the perception of foreign-accented speech.