A review of automatic recognition technology for bird vocalizations in the deep learning era

J Xie, Y Zhong, J Zhang, S Liu, C Ding… - Ecological …, 2023 - Elsevier
Birds are considered critical indicators of ecosystem condition. Automatic recording devices
have emerged as a trending tool to assist field observations, contributing to biodiversity …

[HTML][HTML] A review of sensory interactions between autonomous vehicles and drivers

J Lu, Z Peng, S Yang, Y Ma, R Wang, Z Pang… - Journal of Systems …, 2023 - Elsevier
Nowadays, human-oriented has already become the direction of the development of the
intelligent vehicle, among which, the cabin, in constant contact with drivers, is getting more …

A survey of audio enhancement algorithms for music, speech, bioacoustics, biomedical, industrial and environmental sounds by image U-Net

S Gul, MS Khan - IEEE Access, 2023 - ieeexplore.ieee.org
The recent surge in the use of Deep Neural Networks (DNNs) has also made its mark in the
field of Audio Enhancement (AE), providing much better quality than the classical methods …

Sound event aware environmental sound segmentation with Mask U-Net

Y Sudo, K Itoyama, K Nishida, K Nakadai - Advanced Robotics, 2020 - Taylor & Francis
This paper proposes an environmental sound segmentation method using Mask U-Net. In
recent years, human–robot interactions, especially speech dialogue, have been assessed …

Environmental sound extraction using onomatopoeic words

Y Okamoto, S Horiguchi, M Yamamoto… - ICASSP 2022-2022 …, 2022 - ieeexplore.ieee.org
An onomatopoeic word, which is a character sequence that phonetically imitates a sound, is
effective in expressing characteristics of sound such as duration, pitch, and timbre. We …

Multichannel environmental sound segmentation: with separately trained spectral and spatial features

Y Sudo, K Itoyama, K Nishida, K Nakadai - Applied Intelligence, 2021 - Springer
This paper proposes a multichannel environmental sound segmentation method.
Environmental sound segmentation is an integrated method to achieve sound source …

Semantic segmentation on smartphone motion sensor data for road surface monitoring

BD Setiawan, M Kovacs, U Serdült… - Procedia Computer …, 2022 - Elsevier
Improving road safety is one of the critical issues for road maintenance and management.
Motion sensors embedded in smartphones to sense vibrations can be used to detect rough …

Multi-channel environmental sound segmentation utilizing sound source localization and separation U-Net

Y Sudo, K Itoyama, K Nishida… - 2021 IEEE/SICE …, 2021 - ieeexplore.ieee.org
This paper proposes a multi-channel environmental sound segmentation method.
Environmental sound segmentation is an integrated method that deals with sound source …

Research and Development on Noise, Vibration, and Harshness of Road Vehicles Using Driving Simulators-A Review

H Xue, G Previati, M Gobbi… - … JOURNAL OF VEHICLE …, 2023 - re.public.polimi.it
Noise, vibration, and harshness (NVH) is a key aspect in the vehicle development. Reducing
noise and vibration to create a comfortable environment is one of the main objectives in …

USM-SED-A dataset for polyphonic sound event detection in urban sound monitoring scenarios

J Abeßer - arXiv preprint arXiv:2105.02592, 2021 - arxiv.org
This paper introduces a novel dataset for polyphonic sound event detection in urban sound
monitoring use-cases. Based on isolated sounds taken from the FSD50k dataset, 20,000 …