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| Presentation | 2023-03-14 09:45 A study of a method for extracting scenes in which the driver is talking, using the voice recorded by the drive recorder as a clue Manabu Okamoto, Takaya Chijiwa, Shoko Goto (Sojo Univ.)  LOIS2022-59 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In recent years, many commercial vehicles are equipped with drive recorders to record video and audio inside and outside the vehicle in order to record the driving conditions. It is necessary to find out the situation and instruct employees, etc., because there are cases where it is illegal to wear a seatbelt or make a phone call while driving. It is difficult to check all of the huge amount of data manually in order to find conversations while driving or not wearing a seatbelt from the recorded data. It is We have started a study on a method to detect the state of communication while driving by distinguishing the state of driving, stop, conversation, and communication from the voice data recorded by the drive recorder. In this report, as the first step, we describe the results of examining a method for examining a method for identifying conversational states from speech data. After eliminating unnecessary noise and labeling the data of the drive recorder, the mel filter bank coefficients and MFCC were calculated, and the neural network was trained and evaluated. As a result, it was found that the same vehicle used for learning can be discriminated to some extent. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Conversation Scene Extraction / Drive Recorder / Acoustic Event Detection / Neural Network / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 423, LOIS2022-59, pp. 89-94, March 2023. | |
| Paper # | LOIS2022-59 | |
| Date of Issue | 2023-03-06 (LOIS) | |
| 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 | LOIS2022-59 |
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| Conference Information | |
| Committee | LOIS |
| Conference Date | 2023-03-13 - 2023-03-14 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | LOIS |
| Conference Code | 2023-03-LOIS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A study of a method for extracting scenes in which the driver is talking, using the voice recorded by the drive recorder as a clue |
| Sub Title (in English) | |
| Keyword(1) | Conversation Scene Extraction |
| Keyword(2) | Drive Recorder |
| Keyword(3) | Acoustic Event Detection |
| Keyword(4) | Neural Network |
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| 1st Author's Name | Manabu Okamoto |
| 1st Author's Affiliation | Sojo University (Sojo Univ.) |
| 2nd Author's Name | Takaya Chijiwa |
| 2nd Author's Affiliation | Sojo University (Sojo Univ.) |
| 3rd Author's Name | Shoko Goto |
| 3rd Author's Affiliation | Sojo University (Sojo Univ.) |
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| Speaker | Author-1 |
| Date Time | 2023-03-14 09:45:00 |
| Presentation Time | 25 minutes |
| Registration for | LOIS |
| Paper # | LOIS2022-59 |
| Volume (vol) | vol.122 |
| Number (no) | no.423 |
| Page | pp.89-94 |
| #Pages | 6 |
| Date of Issue | 2023-03-06 (LOIS) |
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