activity
20162024
most citedSyntactic and Semantic Features For Code-Switching Factored Language Models

70 citations · 180 across the 53 of their papers we have counts for

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Showing 2023Show all

5 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.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★ 2 cited

Neural Machine Translation for the Indigenous Languages of the Americas: An Introduction

Manuel Mager, Rajat Bhatnagar, Graham Neubig +2

Neural models have drastically advanced state of the art for machine translation (MT) between high-resource languages. Traditionally, these models rely on large amounts of training…

cs.CL2023

Oh, Jeez! or Uh-huh? A Listener-aware Backchannel Predictor on ASR Transcriptions

Daniel Ortega, Chia-Yu Li, Ngoc Thang Vu

This paper presents our latest investigation on modeling backchannel in conversations. Motivated by a proactive backchanneling theory, we aim at developing a system which acts as a…

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…