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| Presentation | 2021-03-04 16:45 Evaluation of Attention Fusion based Audio-Visual Target Speaker Extraction on Real Recordings Hiroshi Sato, Tsubasa Ochiai, Keisuke Kinoshita, Marc Delcroix, Tomohiro Nakatani, Shoko Araki (NTT)  EA2020-88 SIP2020-119 SP2020-53 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The audio-visual target speech extraction, which aims at extracting a target speaker's voice from a mixture with audio and visual clues, has received much interest. In previous works, the audio-visual target speaker extraction has shown more stable performance than single modality methods for simulated data. However, its adaptation towards realistic situations has not been fully explored as well as evaluations on real recorded mixtures. Especially, we focus on clue corruption problem that occurs often in real recordings. In this work, we propose a novel attention mechanism for multi-modal fusion and its training methods that enable to selective use of more reliable clues. We record an audio-visual dataset of simultaneous speech with realistic visual clue corruption, and show that audio-visual target speech extraction with our proposals successfully work on real data as well as on simulated data. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | audio-visual / multi-modal fusion / target speaker extraction / SpeakerBeam / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 399, SP2020-53, pp. 170-175, March 2021. | |
| Paper # | SP2020-53 | |
| Date of Issue | 2021-02-24 (EA, SIP, 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 | EA2020-88 SIP2020-119 SP2020-53 |
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| Conference Information | |
| Committee | EA US SP SIP IPSJ-SLP |
| Conference Date | 2021-03-03 - 2021-03-04 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Speech, Engineering/Electro Acoustics, Signal Processing, Ultrasonics, and Related Topics |
| Paper Information | |
| Registration To | SP |
| Conference Code | 2021-03-EA-US-SP-SIP-SLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Evaluation of Attention Fusion based Audio-Visual Target Speaker Extraction on Real Recordings |
| Sub Title (in English) | |
| Keyword(1) | audio-visual |
| Keyword(2) | multi-modal fusion |
| Keyword(3) | target speaker extraction |
| Keyword(4) | SpeakerBeam |
| Keyword(5) | |
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| 1st Author's Name | Hiroshi Sato |
| 1st Author's Affiliation | NTT Corporation (NTT) |
| 2nd Author's Name | Tsubasa Ochiai |
| 2nd Author's Affiliation | NTT Corporation (NTT) |
| 3rd Author's Name | Keisuke Kinoshita |
| 3rd Author's Affiliation | NTT Corporation (NTT) |
| 4th Author's Name | Marc Delcroix |
| 4th Author's Affiliation | NTT Corporation (NTT) |
| 5th Author's Name | Tomohiro Nakatani |
| 5th Author's Affiliation | NTT Corporation (NTT) |
| 6th Author's Name | Shoko Araki |
| 6th Author's Affiliation | NTT Corporation (NTT) |
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| Speaker | Author-1 |
| Date Time | 2021-03-04 16:45:00 |
| Presentation Time | 25 minutes |
| Registration for | SP |
| Paper # | EA2020-88, SIP2020-119, SP2020-53 |
| Volume (vol) | vol.120 |
| Number (no) | no.397(EA), no.398(SIP), no.399(SP) |
| Page | pp.170-175 |
| #Pages | 6 |
| Date of Issue | 2021-02-24 (EA, SIP, SP) |
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