NETLAB: algorithms for pattern recognition
NETLAB: algorithms for pattern recognition
Acoustic Analysis of Adult Speaker Age
Speaker Classification I
Speaker Classification in Forensic Phonetics and Acoustics
Speaker Classification I
A Study of Acoustic Correlates of Speaker Age
Speaker Classification II
ACCDIST: An Accent Similarity Metric for Accent Recognition and Diagnosis
Speaker Classification II
Characterisation and identification of non-native French accents
Speech Communication
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This contribution deals with the automatic identification of the dialects of the British Isles. Several methods based on the linguistic study of dialect-specific vowel systems are proposed and compared using the Accents of the British Isles (ABI) corpus. The first method examines differences in diphthongization for the facelexical set. Discrimination scores in a two-dialect discrimination task range from chance to ca. 98% of correct decision depending on the pair of dialects under test. Thanks to the ACCDIST method (developed in [1,2]), the second and third experiments take dialectal differences in the structure of vowel systems into consideration; evaluation is performed on a 13-dialect closed set identification task. Correct identification reaches up to 90% with two subsets of the ABI corpus (/hVd/ set and read passages). All these experiments rely on a front-end automatic phonetic alignment and are therefore text-dependent. Results and possible improvements are discussed in the light of British dialectology.