mlsanityData to 14 Oct 2026

Towards cross-language prosody transfer for dialog

arXiv 2307.04123 ↗First posted 9 Jul 2023cs.CLcited by 5

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Abstract (arXiv)

Speech-to-speech translation systems today do not adequately support use for dialog purposes. In particular, nuances of speaker intent and stance can be lost due to improper prosody transfer. We present an exploration of what needs to be done to overcome this. First, we developed a data collection protocol in which bilingual speakers re-enact utterances from an earlier conversation in their other language, and used this to collect an English-Spanish corpus, so far comprising 1871 matched utterance pairs. Second, we developed a simple prosodic dissimilarity metric based on Euclidean distance over a broad set of prosodic features. We then used these to investigate cross-language prosodic differences, measure the likely utility of three simple baseline models, and identify phenomena which will require more powerful modeling. Our findings should inform future research on cross-language prosody and the design of speech-to-speech translation systems capable of effective prosody transfer.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 17 of its 32 references that are in the map. First posted on arXiv 9 Jul 2023.

Builds on

17 of 32 references.

References · 17

  1. 2019Common Voice: A Massively-Multilingual Speech Corpuscited by 1,384
  2. 2020MLS: A Large-Scale Multilingual Dataset for Speech Researchcited by 476
  3. 2021VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretationcited by 463
  4. 2021Direct speech-to-speech translation with discrete unitscited by 149
  5. 2021Textless Speech-to-Speech Translation on Real Datacited by 121
  6. 2021The Multilingual TEDx Corpus for Speech Recognition and Translationcited by 101
  7. 2021Translatotron 2: High-quality direct speech-to-speech translation with voice preservationcited by 71
  8. 2022CVSS Corpus and Massively Multilingual Speech-to-Speech Translationcited by 71
  9. 2022Enhanced Direct Speech-to-Speech Translation Using Self-supervised Pre-training and Data Augmentationcited by 44
  10. 2020UWSpeech: Speech to Speech Translation for Unwritten Languagescited by 43
  11. 2019MaSS: A Large and Clean Multilingual Corpus of Sentence-aligned Spoken Utterances Extracted from the Biblecited by 24
  12. 2022Leveraging unsupervised and weakly-supervised data to improve direct speech-to-speech translationcited by 20
5 more
  1. 2018Whisper: Fast Flooding for Low-Power Wireless Networkscited by 14
  2. 2020Unmet Needs and Opportunities for Mobile Translation AIcited by 14
  3. 2022Leveraging Pseudo-labeled Data to Improve Direct Speech-to-Speech Translationcited by 12
  4. 2023A Holistic Cascade System, benchmark, and Human Evaluation Protocol for Expressive Speech-to-Speech Translationcited by 11
  5. 2022Dialogs Re-enacted Across Languagescited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 2; 2025: 0; 2026: 2.

5 papers.