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Paper Abstract and Keywords
Presentation 2026-06-05 14:00
[Poster Presentation] Single-Channel Speech Separation with Pseudo-Spatial Embeddings
Daichi Nitsu, Koichi Shinoda (Science Tokyo) SP2026-21
Abstract (in Japanese) (See Japanese page) 
(in English) Single-channel speech separation often degrades in noisy and reverberant environments because inter-channel spatial cues cannot be directly exploited at inference. This paper proposes a method for estimating pseudo-spatial embeddings from a single-channel input by using multi-channel mixtures available only during training as privileged information. Single-channel and multi-channel spatial encoders are pretrained with triplet contrastive learning so that embeddings with the same spatial condition are pulled together and those with different spatial conditions are pushed apart, learning spatial representations that are less dependent on speech content. After pretraining, the spatial encoder is fine-tuned jointly with TF-Locoformer, and a Fusion Module combining MHCA and FiLM conditions time-frequency features on the pseudo-spatial embeddings. On WHAMR!, SI-SNRi improves from 17.4 dB to 17.7 dB with the Small model size and from 18.6 dB to 18.9 dB with the Medium model size.
Keyword (in Japanese) (See Japanese page) 
(in English) speech separation / contrastive learning / spatial embeddin / privileged information / FiLM / / /  
Reference Info. IEICE Tech. Rep., vol. 126, no. 58, SP2026-21, pp. 113-118, June 2026.
Paper # SP2026-21 
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 SP2026-21

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) Single-Channel Speech Separation with Pseudo-Spatial Embeddings 
Sub Title (in English)  
Keyword(1) speech separation  
Keyword(2) contrastive learning  
Keyword(3) spatial embeddin  
Keyword(4) privileged information  
Keyword(5) FiLM  
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1st Author's Name Daichi Nitsu  
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 # SP2026-21 
Volume (vol) vol.126 
Number (no) no.58 
Page pp.113-118 
#Pages 6 
Date of Issue 2026-05-29 (SP) 

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