| Paper Abstract and Keywords |
| Presentation |
2023-06-23 13:50
Feature Representation of Japanese Pitch Accent and its Perceptual Adequacy
-- Fundamental Study for Application to Japanese Speech Education -- Ikuyo Masuda-Katsuse (Kindai Univ.) SP2023-3 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
For the purpose of application to Japanese speech education, pitch patterns were modeled by Sequential VAE to obtain a feature representation of pitch accent. In this model, pitch patterns are decomposed into time-invariant and time-variant features, with time-invariant representing accent and time-variant representing voice/unvoice at each time point. First, GMM regression of the time-invariant latent variables confirmed that the time-invariant latent variables represent accent features. Next, the pitch frequency of speech was transformed by reconstructing 49 different pitch patterns for each word by varying only the value of the time-invariant latent variable. Subjects rated the adequacy of the pitch patterns of the transformed speech. Compared to the distribution of accent features in the time-invariant latent space, the distribution of the rating averages tended to have relatively high values for accent types other than the teacher accent type. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
pitch accent / Japanese speech learning / variational auto encoder / latent variables / speech perception / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 123, no. 88, SP2023-3, pp. 8-13, June 2023. |
| Paper # |
SP2023-3 |
| Date of Issue |
2023-06-16 (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 |
SP2023-3 |
| Conference Information |
| Committee |
SP IPSJ-MUS IPSJ-SLP |
| Conference Date |
2023-06-23 - 2023-06-24 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
|
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
|
| Paper Information |
| Registration To |
SP |
| Conference Code |
2023-06-SP-MUS-SLP |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Feature Representation of Japanese Pitch Accent and its Perceptual Adequacy |
| Sub Title (in English) |
Fundamental Study for Application to Japanese Speech Education |
| Keyword(1) |
pitch accent |
| Keyword(2) |
Japanese speech learning |
| Keyword(3) |
variational auto encoder |
| Keyword(4) |
latent variables |
| Keyword(5) |
speech perception |
| Keyword(6) |
|
| Keyword(7) |
|
| Keyword(8) |
|
| 1st Author's Name |
Ikuyo Masuda-Katsuse |
| 1st Author's Affiliation |
Kindai University (Kindai Univ.) |
| 2nd Author's Name |
|
| 2nd Author's Affiliation |
() |
| 3rd Author's Name |
|
| 3rd Author's Affiliation |
() |
| 4th Author's Name |
|
| 4th Author's Affiliation |
() |
| 5th Author's Name |
|
| 5th Author's Affiliation |
() |
| 6th Author's Name |
|
| 6th Author's Affiliation |
() |
| 7th Author's Name |
|
| 7th Author's Affiliation |
() |
| 8th Author's Name |
|
| 8th Author's Affiliation |
() |
| 9th Author's Name |
|
| 9th Author's Affiliation |
() |
| 10th Author's Name |
|
| 10th Author's Affiliation |
() |
| 11th Author's Name |
|
| 11th Author's Affiliation |
() |
| 12th Author's Name |
|
| 12th Author's Affiliation |
() |
| 13th Author's Name |
|
| 13th Author's Affiliation |
() |
| 14th Author's Name |
|
| 14th Author's Affiliation |
() |
| 15th Author's Name |
|
| 15th Author's Affiliation |
() |
| 16th Author's Name |
|
| 16th Author's Affiliation |
() |
| 17th Author's Name |
|
| 17th Author's Affiliation |
() |
| 18th Author's Name |
|
| 18th Author's Affiliation |
() |
| 19th Author's Name |
|
| 19th Author's Affiliation |
() |
| 20th Author's Name |
|
| 20th Author's Affiliation |
() |
| 21st Author's Name |
|
| 21st Author's Affiliation |
() |
| 22nd Author's Name |
|
| 22nd Author's Affiliation |
() |
| 23rd Author's Name |
|
| 23rd Author's Affiliation |
() |
| 24th Author's Name |
|
| 24th Author's Affiliation |
() |
| 25th Author's Name |
|
| 25th Author's Affiliation |
() |
| 26th Author's Name |
/ / |
| 26th Author's Affiliation |
()
() |
| 27th Author's Name |
/ / |
| 27th Author's Affiliation |
()
() |
| 28th Author's Name |
/ / |
| 28th Author's Affiliation |
()
() |
| 29th Author's Name |
/ / |
| 29th Author's Affiliation |
()
() |
| 30th Author's Name |
/ / |
| 30th Author's Affiliation |
()
() |
| 31st Author's Name |
/ / |
| 31st Author's Affiliation |
()
() |
| 32nd Author's Name |
/ / |
| 32nd Author's Affiliation |
()
() |
| 33rd Author's Name |
/ / |
| 33rd Author's Affiliation |
()
() |
| 34th Author's Name |
/ / |
| 34th Author's Affiliation |
()
() |
| 35th Author's Name |
/ / |
| 35th Author's Affiliation |
()
() |
| 36th Author's Name |
/ / |
| 36th Author's Affiliation |
()
() |
| Speaker |
Author-1 |
| Date Time |
2023-06-23 13:50:00 |
| Presentation Time |
140 minutes |
| Registration for |
SP |
| Paper # |
SP2023-3 |
| Volume (vol) |
vol.123 |
| Number (no) |
no.88 |
| Page |
pp.8-13 |
| #Pages |
6 |
| Date of Issue |
2023-06-16 (SP) |