A sequence matching network for polyphonic sound event localization and detection
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 …
features from audio signals. While sound event detection mainly relies on time-frequency …
A general network architecture for sound event localization and detection using transfer learning and recurrent neural network
TNT Nguyen, NK Nguyen, H Phan… - ICASSP 2021-2021 …, 2021 - ieeexplore.ieee.org
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) …
difficult to jointly optimize sound event detection (SED) and direction-of-arrival (DOA) …
SoundSynp: Sound Source Detection from Raw Waveforms with Multi-Scale Synperiodic Filterbanks
We propose synperiodic filter banks, a novel multi-scale learnable filter bank construction
strategy that all filters are synchronized by their rotating periodicity. By synchronizing in a …
strategy that all filters are synchronized by their rotating periodicity. By synchronizing in a …
[PDF][PDF] Acoustic scene classification using a CNN-SuperVector system trained with auditory and spectrogram image features.
Enabling smart devices to infer about the environment using audio signals has been one of
the several long-standing challenges in machine listening. The availability of public-domain …
the several long-standing challenges in machine listening. The availability of public-domain …
[PDF][PDF] Ensemble of Sequence Matching Networks for Dynamic Sound Event Localization, Detection, and Tracking.
Sound event localization and detection consists of two subtasks which are sound event
detection and direction-of-arrival estimation. While sound event detection mainly relies on …
detection and direction-of-arrival estimation. While sound event detection mainly relies on …
[PDF][PDF] Sound Event Detection: A Journey Through DCASE Challenge Series
The sense of hearing is fundamental to human beings, as it allows them to perceive their
surroundings. However, this simple task of recognizing different sounds in complex …
surroundings. However, this simple task of recognizing different sounds in complex …
Synthetic data generation techniques for training deep acoustic siren identification networks
Acoustic sensing has been widely exploited for the early detection of harmful situations in
urban environments: in particular, several siren identification algorithms based on deep …
urban environments: in particular, several siren identification algorithms based on deep …
A dataset for audio-visual sound event detection in movies
Audio event detection is a widely studied field, with applications ranging from self-driving
cars to healthcare. In-the-wild datasets such as Audioset have propelled research in this …
cars to healthcare. In-the-wild datasets such as Audioset have propelled research in this …
What makes sound event localization and detection difficult? insights from error analysis
TNT Nguyen, KN Watcharasupat, ZJ Lee… - arXiv preprint arXiv …, 2021 - arxiv.org
Sound event localization and detection (SELD) is an emerging research topic that aims to
unify the tasks of sound event detection and direction-of-arrival estimation. As a result, SELD …
unify the tasks of sound event detection and direction-of-arrival estimation. As a result, SELD …
Echo-aware adaptation of sound event localization and detection in unknown environments
M Yasuda, Y Ohishi, S Saito - ICASSP 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
Our goal is to develop a sound event localization and detection (SELD) system that works
robustly in unknown environments. A SELD system trained on known environment data is …
robustly in unknown environments. A SELD system trained on known environment data is …