PS-TTS and PS-Comet TTS use isochrony via language model paraphrasing plus phonetic synchronization with DTW on vowel distances to achieve better lip-sync and semantic preservation in automated dubbing than standard TTS or voice actors on tested language pairs.
arXiv:1812.10464 (2019)
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
verdicts
UNVERDICTED 2representative citing papers
LASER sentence embeddings are applied directly to filter parallel corpora, achieving the best BLEU scores in the WMT19 low-resource tasks for Nepali-English and Sinhala-English by margins of 1.3 and 1.4.
citing papers explorer
-
PS-TTS: Phonetic Synchronization in Text-to-Speech for Achieving Natural Automated Dubbing
PS-TTS and PS-Comet TTS use isochrony via language model paraphrasing plus phonetic synchronization with DTW on vowel distances to achieve better lip-sync and semantic preservation in automated dubbing than standard TTS or voice actors on tested language pairs.
-
Low-Resource Corpus Filtering using Multilingual Sentence Embeddings
LASER sentence embeddings are applied directly to filter parallel corpora, achieving the best BLEU scores in the WMT19 low-resource tasks for Nepali-English and Sinhala-English by margins of 1.3 and 1.4.