Bridging the Training–Inference Gap in TTS: Training Strategies for Robust Generative Postprocessing for Low-Resource Speakers

Authors

Christian Dittmar (ORCID: https://orcid.org/0000-0002-3220-2446)
Frank Zalkow (ORCID: https://orcid.org/0000-0003-1383-4541)
Emanuël A. P. Habets (ORCID: https://orcid.org/0000-0002-2613-8046)
Nicola Pia (ORCID: https://orcid.org/0000-0003-0987-863X)
Kishor Kayyar Lakshminarayana (ORCID: https://orcid.org/0000-0001-7493-818X)
Paolo Sani (ORCID: https://orcid.org/0009-0004-3083-3713)

Publication Details

Published: 2025-08-17
DOI: https://doi.org/10.21437/interspeech.2025-854
Primary Topic: Speech Recognition and Synthesis
Type: article
Field-Weighted Citation Impact: 0.00

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article

Bridging the Training–Inference Gap in TTS: Training Strategies for Robust Generative Postprocessing for Low-Resource Speakers

Christian Dittmar, Frank Zalkow, Emanuël A. P. Habets, Nicola Pia et al.

Aug 17, 2025

Speech Recognition and Synthesis

article

Bridging the Training–Inference Gap in TTS: Training Strategies for Robust Generative Postprocessing for Low-Resource Speakers

Christian Dittmar, Frank Zalkow, Emanuël A. P. Habets, Nicola Pia, Kishor Kayyar Lakshminarayana, Paolo Sani

August 17, 2025article en

Abstract

No abstract available for this paper.

Openalex Percentile: Top 84%

Speech Recognition and Synthesis

DOI Source OpenAlex

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Bridging the Training–Inference Gap in TTS: Training Strategies for Robust Generative Postprocessing for Low-Resource Speakers — Christian Dittmar, Frank Zalkow, et al. · (2025) | TGRS Research Map | TGRS