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Paper Abstract and Keywords
Presentation 2026-06-05 14:00
[Poster Presentation] Robust Speaker Representation Learning via Self-Supervised Pre-training Using Diffusion Models
Kaito Miwa, Koichi Shinoda (Science Tokyo) SP2026-11
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, speaker recognition based on deep learning has become highly accurate, and speaker embedding extractors such as ECAPA-TDNN are widely used.
On the other hand, acquiring high-performance speaker embeddings strongly depends on supervised learning using speaker labels, making the design of self-supervised pre-training suitable for speaker recognition an important challenge.
In this study, we propose a method to train a speaker embedding extractor using Mel-spectrogram restoration via diffusion models as self-supervised pre-training.
By incorporating ECAPA-TDNN into a DiffVC-style conditional diffusion model, we reflect the speaker information necessary for restoration into the embeddings.
Evaluations using VoxCeleb1-O showed that performance exceeding the supervised baseline was achieved through fine-tuning after pre-training.
Keyword (in Japanese) (See Japanese page) 
(in English) Speaker recognition / Speaker verification / Self-supervised learning / Diffusion model / ECAPA-TDNN / DiffVC / /  
Reference Info. IEICE Tech. Rep., vol. 126, no. 58, SP2026-11, pp. 61-65, June 2026.
Paper # SP2026-11 
Date of Issue 2026-05-29 (SP) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF SP2026-11

Conference Information
Committee SP IPSJ-SLP IPSJ-MUS  
Conference Date 2026-06-05 - 2026-06-06 
Place (in Japanese) (See Japanese page) 
Place (in English) The University of Electro-Communications 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SP 
Conference Code 2026-06-SP-SLP-MUS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Robust Speaker Representation Learning via Self-Supervised Pre-training Using Diffusion Models 
Sub Title (in English)  
Keyword(1) Speaker recognition  
Keyword(2) Speaker verification  
Keyword(3) Self-supervised learning  
Keyword(4) Diffusion model  
Keyword(5) ECAPA-TDNN  
Keyword(6) DiffVC  
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Keyword(8)  
1st Author's Name Kaito Miwa  
1st Author's Affiliation Institute of Science Tokyo (Science Tokyo)
2nd Author's Name Koichi Shinoda  
2nd Author's Affiliation Institute of Science Tokyo (Science Tokyo)
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Speaker Author-1 
Date Time 2026-06-05 14:00:00 
Presentation Time 180 minutes 
Registration for SP 
Paper # SP2026-11 
Volume (vol) vol.126 
Number (no) no.58 
Page pp.61-65 
#Pages 5 
Date of Issue 2026-05-29 (SP) 

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