Poster De Conférence Année : 2025

Evaluation of Three Automatic Alignment Tools for the Processing of Non-native French

Résumé

The production of non-native speech is known to display "cross-language phonetic interference", which makes such speech difficult to align and label automatically. Automatic phonetic alignment refers to an automated process whereby software synchronizes speech with its transcription, usually at the phone and word levels. This method has proven useful and reliable for native speech, yet this reliability usually does not extend to non-native speech. This paper proposes to test three major automatic aligners (WebMAUS, MFA and SPPAS) in their basic setting on non-native French uttered by two native speakers of Chinese by comparing them with two manual segmentations. This paper's goal is to offer non-computer linguists a preliminary investigation on which to rely when choosing a tool for their studies in non-native phonetics or language didactics. Results show that the best performing tool for labeling is SPPAS while the best performing tool for both word- and phone-segmentation overall is WebMAUS and MFA the worst.

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Dates et versions

hal-05139267 , version 1 (02-07-2025)

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  • HAL Id : hal-05139267 , version 1

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Qian Zhou, Mathilde Hutin. Evaluation of Three Automatic Alignment Tools for the Processing of Non-native French. Interspeech 2025, Aug 2025, Rotterdam, Netherlands. ⟨hal-05139267⟩
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