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S. Meyer

13 papers hereh-index 10333 citations19 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author6
  • middle author7

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CL5
  • cs.SD4
  • eess.AS4
same name
  • S. Meyer — 140 papers, h 77
  • S. Meyer — 15 papers, h 15
  • S. Meyer — 13 papers, h 11
  • S. Meyer — 11 papers, h 14
  • S. Meyer — 9 papers, h 8
  • S. Meyer — 9 papers, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedProbing the Feasibility of Multilingual Speaker Anonymization

7 citations · 17 across the 13 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.SD2023★ 1 cited

Controllable Generation of Artificial Speaker Embeddings through Discovery of Principal Directions

Florian Lux, Pascal Tilli, Sarina Meyer +1

Customizing voice and speaking style in a speech synthesis system with intuitive and fine-grained controls is challenging, given that little data with appropriate labels is availab…

cs.CL2023

The IMS Toucan System for the Blizzard Challenge 2023

Florian Lux, Julia Koch, Sarina Meyer +5

For our contribution to the Blizzard Challenge 2023, we improved on the system we submitted to the Blizzard Challenge 2021. Our approach entails a rule-based text-to-phoneme proces…

cs.SD2023★ 4 cited

VoicePAT: An Efficient Open-source Evaluation Toolkit for Voice Privacy Research

Sarina Meyer, Xiaoxiao Miao, Ngoc Thang Vu

Speaker anonymization is the task of modifying a speech recording such that the original speaker cannot be identified anymore. Since the first Voice Privacy Challenge in 2020, alon…

cs.CL2023

Modeling Speaker-Listener Interaction for Backchannel Prediction

Daniel Ortega, Sarina Meyer, Antje Schweitzer +1

We present our latest findings on backchannel modeling novelly motivated by the canonical use of the minimal responses Yeah and Uh-huh in English and their correspondent tokens in…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.