Papers by Noé Tits

1 papers
MUST&P-SRL: Multi-lingual and Unified Syllabification in Text and Phonetic Domains for Speech Representation Learning (2023.emnlp-industry)

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Challenge: Modern speech technologies have moved towards end-to-end models that constitutes black box systems that do not allow for explainability of the prediction or decisions.
Approach: They propose a method for linguistic feature extraction that uses phonetic transcriptions and a forced alignment tool to extract phonetic features.
Outcome: The proposed method is compatible with a forced-alignment tool, the Montreal Forced Aligner.

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