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Author

Margaret E. L. Renwick

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Aug 2026

Forced alignment of Istro-Venetian speech via neural versus non-neural models

Comparing the ability of the Montreal Forced Aligner (MFA) and Wav2Vec-BERT 2.0 to produce word-level alignments for the low-resource variety Istro-Venetian, spoken in Croatia indicates that MFA significantly outperforms Wav2Vec-BERT 2.0 on forced alignment.

Austin Jones, Massimo Daul, Margaret E. L. Renwick et al. · 0 citations

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