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| Presentation | 2016-03-28 13:15 [Poster Presentation] Super-Resolution Vocal Tract Spectrum Estimation with Missing Data Imputation Using Non-Negative Matrix Factorization Tomohiko Nakamura (Todai), Hirokazu Kameoka (Todai/NTT)  EA2015-83 SIP2015-132 SP2015-111 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This report addresses the problem of estimating vocal tract spectra from speech signals. Spectra of speech signals can be interpreted as vocal tract spectra sampled with a sampling period of $F_0$, and the higher $F_0$s are, the less observable harmonic components becomes. On the other hand, similar vocal tract spectra appear repeatedly due to multiple appearance of phonemes in speech signals. If we can assume that frames at which $F_0$s are different have common vocal tract spectra, the accuracy of vocal tract estimation may improve by making effective use of harmonic components in multiple frames. On the basis of the idea, with an assumption that vocal tract spectrograms can be represented by low-rank non-negative matrices, we formulate the problem of vocal tract estimation as non-negative matrix factorizations for missing data and derive an efficient parameter estimation algorithm. Experimental evaluation shows the effectiveness of the proposed method. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Vocal Tract Spectrum Estimation / Non-Negative Matrix Factorization / Auxiliary Function Approach / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 115, no. 523, SP2015-111, pp. 99-104, March 2016. | |
| Paper # | SP2015-111 | |
| Date of Issue | 2016-03-21 (EA, SIP, SP) | |
| ISSN | Print edition: ISSN 0913-5685 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 | EA2015-83 SIP2015-132 SP2015-111 |
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| Conference Information | |
| Committee | EA SP SIP |
| Conference Date | 2016-03-28 - 2016-03-29 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Beppu International Convention Center B-ConPlaza |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Engineering/Electro Acoustics, Speech, Signal Processing, and Related Topics |
| Paper Information | |
| Registration To | SP |
| Conference Code | 2016-03-EA-SP-SIP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Super-Resolution Vocal Tract Spectrum Estimation with Missing Data Imputation Using Non-Negative Matrix Factorization |
| Sub Title (in English) | |
| Keyword(1) | Vocal Tract Spectrum Estimation |
| Keyword(2) | Non-Negative Matrix Factorization |
| Keyword(3) | Auxiliary Function Approach |
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| 1st Author's Name | Tomohiko Nakamura |
| 1st Author's Affiliation | The University of Tokyo (Todai) |
| 2nd Author's Name | Hirokazu Kameoka |
| 2nd Author's Affiliation | The University of Tokyo/Nippon Telegraph and Telephone Corporation (Todai/NTT) |
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| Speaker | Author-1 |
| Date Time | 2016-03-28 13:15:00 |
| Presentation Time | 90 minutes |
| Registration for | SP |
| Paper # | EA2015-83, SIP2015-132, SP2015-111 |
| Volume (vol) | vol.115 |
| Number (no) | no.521(EA), no.522(SIP), no.523(SP) |
| Page | pp.99-104 |
| #Pages | 6 |
| Date of Issue | 2016-03-21 (EA, SIP, SP) |
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