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| Presentation | 2021-01-22 14:00 [Invited Lecture] A Study on Correlation between Automatic Speech Recognition Accuracy and Speech QoE Masashi Yamashita, Hiroshi Matsunaga, Toyota Nishi (DOCOMO Technology)  CQ2020-99 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In recent years, as the quality of mobile networks has improved, it has become more critical to maintain and improve the subjective quality of experience (QoE) that customers experience and the objective quality of communication, such as the ability to connect or not connect. The conventional voice QoE evaluation method, MOS, is not easy to implement because it requires many human resources. Also, QoE evaluation using objective evaluation methods requires a large amount of data acquisition, which is not easy to achieve. On the other hand, W Jiang et al. reported a specific correlation between automatic speech recognition accuracy and MOS in a Lab environment. With the development of AI technology, automated speech recognition (ASR) is becoming more readily available. For these reasons, the evaluation of communication quality by ASR is becoming more and more realistic. If the correlation between ASR's speech recognition accuracy and MOS can be confirmed in a real environment, a simple speech QoE evaluation method using speech recognition results (text) can be realized. Therefore, this paper describes a QoE evaluation method for mobile networks using ASR. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Automated Speech Recognition / Speech Quality of Experience / Mobile Network / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 314, CQ2020-99, pp. 145-148, Jan. 2021. | |
| Paper # | CQ2020-99 | |
| Date of Issue | 2021-01-13 (CQ) | |
| 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 | CQ2020-99 |
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| Conference Information | |
| Committee | CQ CBE |
| Conference Date | 2021-01-20 - 2021-01-22 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | AR/VR, Broadcasting Service, Video/Voice Services Quality, High Realistic, User Behavior/Psychology, User Experience, Media Quality, Network Quality and QoS Control, Networks and Communications at Disaster, User Behavior, Machine Learning, Video Communication, etc. |
| Paper Information | |
| Registration To | CQ |
| Conference Code | 2021-01-CQ-CBE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Correlation between Automatic Speech Recognition Accuracy and Speech QoE |
| Sub Title (in English) | |
| Keyword(1) | Automated Speech Recognition |
| Keyword(2) | Speech Quality of Experience |
| Keyword(3) | Mobile Network |
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| 1st Author's Name | Masashi Yamashita |
| 1st Author's Affiliation | DOCOMO Technology, Inc. (DOCOMO Technology) |
| 2nd Author's Name | Hiroshi Matsunaga |
| 2nd Author's Affiliation | DOCOMO Technology, Inc. (DOCOMO Technology) |
| 3rd Author's Name | Toyota Nishi |
| 3rd Author's Affiliation | DOCOMO Technology, Inc. (DOCOMO Technology) |
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| Speaker | Author-1 |
| Date Time | 2021-01-22 14:00:00 |
| Presentation Time | 20 minutes |
| Registration for | CQ |
| Paper # | CQ2020-99 |
| Volume (vol) | vol.120 |
| Number (no) | no.314 |
| Page | pp.145-148 |
| #Pages | 4 |
| Date of Issue | 2021-01-13 (CQ) |
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