Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Thi Ngoc Tho Nguyen"'
Autor:
Thi Ngoc Tho Nguyen, Karn N. Watcharasupat, Ngoc Khanh Nguyen, Douglas L. Jones, Woon-Seng Gan
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 30:1749-1762
Sound event localization and detection (SELD) consists of two subtasks, which are sound event detection and direction-of-arrival estimation. While sound event detection mainly relies on time-frequency patterns to distinguish different sound classes,
Polyphonic events are the main error source of audio event detection (AED) systems. In deep-learning context, the most common approach to deal with event overlaps is to treat the AED task as a multi-label classification problem. By doing this, we inh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::450441720f8ef61e982d8eddd78788c5
https://doi.org/10.31219/osf.io/m4rj3
https://doi.org/10.31219/osf.io/m4rj3
Echo and noise suppression is an integral part of a full-duplex communication system. Many recent acoustic echo cancellation (AEC) systems rely on a separate adaptive filtering module for linear echo suppression and a neural module for residual echo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d642a636600b45fe6d54dc78105ea56d
Polyphonic sound event localization and detection (SELD) has many practical applications in acoustic sensing and monitoring. However, the development of real-time SELD has been limited by the demanding computational requirement of most recent SELD sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28d6c62d18cde6e624a3305d9364c879
Publikováno v:
ICASSP
Polyphonic sound event detection and direction-of-arrival estimation require different input features from audio signals. While sound event detection mainly relies on time-frequency patterns, direction-of-arrival estimation relies on magnitude or pha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::539eee8eb7fbd310774d2704c79ccff0
http://arxiv.org/abs/2002.05865
http://arxiv.org/abs/2002.05865
Many signal processing-based methods for sound source direction-of-arrival estimation produce a spatial pseudo-spectrum of which the local maxima strongly indicate the source directions. Due to different levels of noise, reverberation and different n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a4ec8908fab8da2468d50723d5c62c5
https://hdl.handle.net/10356/144539
https://hdl.handle.net/10356/144539
Autor:
Kenneth Ooi, Ngoc Khanh Nguyen, Woon-Seng Gan, Lam Pham, Huy Phan, Thi Ngoc Tho Nguyen, Douglas L. Jones
Publikováno v:
ICASSP
Polyphonic sound event detection and localization (SELD) task is challenging because it is difficult to jointly optimize sound event detection (SED) and direction-of-arrival (DOA) estimation in the same network. We propose a general network architect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4b3f2c7d397cb016ed1060f106695a6
Publikováno v:
The Journal of the Acoustical Society of America. 141:357-372
Large-region acoustic source mapping is important for city-scale noise monitoring. Approaches using a single-position measurement scheme to scan large regions using small arrays cannot provide clean acoustic source maps, while deploying large arrays
Publikováno v:
The Journal of the Acoustical Society of America. 140:2530-2541
Environmental noise is a risk factor for human physical and mental health, demanding an efficient large-scale noise-monitoring scheme. The current technology, however, involves extensive sound pressure level (SPL) measurements at a dense grid of loca
Publikováno v:
The Journal of the Acoustical Society of America. 143(6)
Noise-mapping is an effective sound visualization tool for the identification of urban noise hotspots, which is crucial to taking targeted measures to tackle environmental noise pollution. This paper develops a high-resolution wideband acoustic sourc