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20232026
most citedProbing the Feasibility of Multilingual Speaker Anonymization

7 citations · 9 across the 12 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.SD2024★ 2 cited

High-Resolution Speech Restoration with Latent Diffusion Model

Tushar Dhyani, Florian Lux, Michele Mancusi +3

Traditional speech enhancement methods often oversimplify the task of restoration by focusing on a single type of distortion. Generative models that handle multiple distortions fre…

cs.CL2024★ 7 cited

Probing the Feasibility of Multilingual Speaker Anonymization

Sarina Meyer, Florian Lux, Ngoc Thang Vu

In speaker anonymization, speech recordings are modified in a way that the identity of the speaker remains hidden. While this technology could help to protect the privacy of indivi…

cs.CL2024

Controlling Emotion in Text-to-Speech with Natural Language Prompts

Thomas Bott, Florian Lux, Ngoc Thang Vu

In recent years, prompting has quickly become one of the standard ways of steering the outputs of generative machine learning models, due to its intuitive use of natural language.…

cs.CL2024

Meta Learning Text-to-Speech Synthesis in over 7000 Languages

Florian Lux, Sarina Meyer, Lyonel Behringer +5

In this work, we take on the challenging task of building a single text-to-speech synthesis system that is capable of generating speech in over 7000 languages, many of which lack s…

cs.CL2024

Teaching a Multilingual Large Language Model to Understand Multilingual Speech via Multi-Instructional Training

Pavel Denisov, Ngoc Thang Vu

Recent advancements in language modeling have led to the emergence of Large Language Models (LLMs) capable of various natural language processing tasks. Despite their success in te…