4,000 research outputs found

    Pronunciation variation modelling using accent features

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    The new accent technologies:recognition, measurement and manipulation of accented speech

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    ACCDIST: A Metric for comparing speakers' accents

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    This paper introduces a new metric for the quantitative assessment of the similarity of speakers' accents. The ACCDIST metric is based on the correlation of inter-segment distance tables across speakers or groups. Basing the metric on segment similarity within a speaker ensures that it is sensitive to the speaker's pronunciation system rather than to his or her voice characteristics. The metric is shown to have an error rate of only 11% on the accent classification of speakers into 14 English regional accents of the British Isles, half the error rate of a metric based on spectral information directly. The metric may also be useful for cluster analysis of accent groups

    The acquisition of English L2 prosody by Italian native speakers: experimental data and pedagogical implications

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    This paper investigates Yes-No question intonation patterns in English L2, Italian L1, and English L1. The aim is to test the hypothesis that L2 learners may show different acquisition strategies for different dimensions of intonation, and particularly the phonological and phonetic components. The study analyses the nuclear intonation contours of 4 target English words and 4 comparable Italian words consisting of sonorant segments, stressed on the semi-final or final syllable, and occurring in Yes-No questions in sentence-final position (e.g., Will you attend the memorial?, Hai sentito la Melania?). The words were contained in mini-dialogues of question-answer pairs, and read 5 times by 4 Italian speakers (Padova area, North-East Italy) and 3 English female speakers (London area, UK). The results show that: 1) different intonation patterns may be used to realize the same grammatical function; 2) different developmental processes are at work, including transfer of L1 categories and the acquisition of L2 phonological categories. These results suggest that the phonetic dimension of L2 intonation may be more difficult to learn than the phonological one

    Acoustic model selection using limited data for accent robust speech recognition

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    Standard oder dialekt? eine neue online elizitations-technik

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    In dialectology, it is often necessary to obtain a measure for the level of dialectal accent shown by individual speakers, especially if statistical analysis is needed. This also applies to studies on standard variants which are “coloured” by regiolects or dialects. In this paper I explore the feasibility of letting native speakers judge the degree of accentedness in Low-Alemannic German. Specifically, I investigate whether listeners who speak a similar dialect as the speakers who are evaluated assign different judgements than listeners who do not. A novel methodology is applied, which involves an on-line elicitation task using audio files. This experiment shows that listeners who speak different varieties of German form a homogeneous group, with respect to rating the level of accent.In der Dialektologie wird häufig ein Maß für den Grad des dialektalen Akzents einzelner Sprecher benötigt, insbesondere, wenn eine statistische Analyse benötigt wird. Das gilt auch für Studien über Standardvarietäten, die durch Regiolekte oder Dialekte "gefärbt" sind. In diesem Artikel prüfe ich, inwieweit es möglich ist, Muttersprachler den dialektalen Akzent in nieder-alemannischem Deutsch einschätzen zu lassen. Insbesondere untersuche ich, ob Hörer, die einen ähnlichen Dialekt wie die bewerteten Sprecher sprechen, zu anderen Urteilen kommen als Hörer, die keinen ähnlichen Dialekt sprechen. Eine neuartige Methode mit einer Online-Elizitations-Aufgabe anhand von Audio-Dateien kommt zum Einsatz. Das Experiment zeigt, dass Hörer, die verschiedene Varietäten des Deutschen sprechen, den erhobenen Bewertungen nach eine homogene Gruppe bilden
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