Multi-Level Attention Aggregation for Language-Agnostic Speaker Replication

Fuente: arXiv
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Main Authors: Jeon, Yejin, Lee, Gary Geunbae
Format: Preprint
Published: 2024
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author Jeon, Yejin
Lee, Gary Geunbae
author_facet Jeon, Yejin
Lee, Gary Geunbae
contents This paper explores the task of language-agnostic speaker replication, a novel endeavor that seeks to replicate a speaker's voice irrespective of the language they are speaking. Towards this end, we introduce a multi-level attention aggregation approach that systematically probes and amplifies various speaker-specific attributes in a hierarchical manner. Through rigorous evaluations across a wide range of scenarios including seen and unseen speakers conversing in seen and unseen lingua, we establish that our proposed model is able to achieve substantial speaker similarity, and is able to generalize to out-of-domain (OOD) cases.
format Preprint
id arxiv_https___arxiv_org_abs_2403_04111
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Multi-Level Attention Aggregation for Language-Agnostic Speaker Replication
Jeon, Yejin
Lee, Gary Geunbae
Sound
Audio and Speech Processing
This paper explores the task of language-agnostic speaker replication, a novel endeavor that seeks to replicate a speaker's voice irrespective of the language they are speaking. Towards this end, we introduce a multi-level attention aggregation approach that systematically probes and amplifies various speaker-specific attributes in a hierarchical manner. Through rigorous evaluations across a wide range of scenarios including seen and unseen speakers conversing in seen and unseen lingua, we establish that our proposed model is able to achieve substantial speaker similarity, and is able to generalize to out-of-domain (OOD) cases.
title Multi-Level Attention Aggregation for Language-Agnostic Speaker Replication
topic Sound
Audio and Speech Processing
url https://arxiv.org/abs/2403.04111