Papers with En-to-De

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Speech Vecalign: an Embedding-based Method for Aligning Parallel Speech Documents (2025.emnlp-main)

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Challenge: Speech Vecalign is a parallel speech document alignment method that monotonically aligns speech segment embeddings and does not depend on text transcriptions.
Approach: They propose a parallel speech document alignment method that monotonically aligns speech segment embeddings and does not depend on text transcriptions.
Outcome: The proposed method outperforms SpeechMatrix models on 3,000 hours of unlabeled speech documents and produces longer speech-to-speech alignments.

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