On mispronunciation analysis of individual foreign speakers using auditory periphery models
2013 (English)In: Speech Communication, ISSN 0167-6393, Vol. 55, no 5, 691-706 p.Article in journal (Refereed) Published
In second language (L2) learning, a major difficulty is to discriminate between the acoustic diversity within an L2 phoneme category and that between different categories. We propose a general method for automatic diagnostic assessment of the pronunciation of nonnative speakers based on models of the human auditory periphery. Considering each phoneme class separately, the geometric shape similarity between the native auditory domain and the non-native speech domain is measured. The phonemes that deviate the most from the native pronunciation for a set of L2 speakers are detected by comparing the geometric shape similarity measure with that calculated for native speakers on the same phonemes. To evaluate the system, we have tested it with different non-native speaker groups from various language backgrounds. The experimental results are in accordance with linguistic findings and human listeners' ratings, particularly when both the spectral and temporal cues of the speech signal are utilized in the pronunciation analysis.
Place, publisher, year, edition, pages
2013. Vol. 55, no 5, 691-706 p.
second language learning, auditory model, distortion measure, perceptual assessment, pronunciation error detection, phoneme
Signal Processing Other Computer and Information Science
IdentifiersURN: urn:nbn:se:kth:diva-102319DOI: 10.1016/j.specom.2013.01.004ISI: 000318744800008ScopusID: 2-s2.0-84876245465OAI: oai:DiVA.org:kth-102319DiVA: diva2:552323
FunderSwedish Research Council, 80449001
QC 20130614. Updated from submitted to published.2012-09-132012-09-132013-06-14Bibliographically approved