Augmentation of Various Speed Data by Controlling Frame Overlap for Acoustic Traffic Monitoring-Reference-Cited by-同舟云学术

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Augmentation of Various Speed Data by Controlling Frame Overlap for Acoustic Traffic Monitoring

Published:2023-10-31 Issue: Volume: Page:
ISSN:
Container-title:2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
language:
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Author:

Takahashi Tomohiro¹,Kinoshita Yuma¹,Ueno Natsuki¹,Wakabayashi Yukoh¹,Ono Nobutaka¹,Honda Jun²,Fukuma Seishi²,Kitamori Aoi²,Nakagawa Hiroshi²

Affiliation:

1. Tokyo Metropolitan University,Tokyo,Japan

2. Nexco-East Engineering,Tokyo,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10317071/10317095/10317558.pdf?arnumber=10317558

Reference25 articles.

1. Acoustic Traffic Monitoring Based on Deep Neural Network Trained by Stereo-Recorded Sound and Sensor Data

2. Sound-based speed estimation using a neural network;shinohara;Proc Spring Meeting of the Acoustical Society of Japan,2020

3. Random Erasing Data Augmentation

4. SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

5. Vehicular Traffic Density State Estimation Based on Cumulative Road Acoustics

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