Polyphonic sound event detection for highly dense birdsong scenes
, 2022 One hour before sunrise, one can experience the dawn chorus where birds from different species sing together. In this scenario, high levels of polyphony, as in the number of overlapping sound sources, are prone to happen resulting in a complex acoustic outcome.
Parrilla, Alberto García Arroba +1 more
openaire +5 more sources
Evaluation of Post-Processing Algorithms for Polyphonic Sound Event Detection [PDF]
2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2019 5 pages, 2 figures, 1 table 2019 IEEE Workshop on Applications of Signal Processing to Audio and ...
Cances, Léo +2 more
openaire +3 more sources
Using Sequential Information in Polyphonic Sound Event Detection
2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC), 2018 To detect the class, and start and end times of sound events in real world recordings is a challenging task. Current computer systems often show relatively high frame-wise accuracy but low event-wise accuracy. In this paper, we attempted to merge the gap by explicitly including sequential information to improve the performance of a state-of-the-art ...
Huang, Guangpu +2 more
openaire +2 more sources
Polyphonic Sound Event Detection and Localization using a Two-Stage Strategy [PDF]
Proceedings of the Detection and Classification of Acoustic Scenes and
Events 2019 Workshop (DCASE2019), 2019 6 pages, 2 figures ...
Cao, Yin +5 more
openaire +3 more sources
Sound Event Detection Using Spatial Features and Convolutional Recurrent Neural Network [PDF]
, 2017 This paper proposes to use low-level spatial features extracted from multichannel audio for sound event detection. We extend the convolutional recurrent neural network to handle more than one type of these multichannel features by learning from each of ...
Adavanne, Sharath +2 more
core +2 more sources
A Capsule based Approach for Polyphonic Sound Event Detection [PDF]
2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2018 Polyphonic sound event detection (polyphonic SED) is an interesting but challenging task due to the concurrence of multiple sound events. Recently, SED methods based on convolutional neural networks (CNN) and recurrent neural networks (RNN) have shown promising performance.
Liu, Yaming +3 more
openaire +2 more sources
Recognition of Harmonic Sounds in Polyphonic Audio using a Missing Feature Approach: Extended Report [PDF]
, 2013 A method based on local spectral features and missing feature techniques is proposed for the recognition of harmonic sounds in mixture signals. A mask estimation algorithm is proposed for identifying spectral regions that contain reliable information ...
Giannoulis, Dimitrios +2 more
core +1 more source
Sound Event Detection in Synthetic Audio: Analysis of the DCASE 2016 Task Results [PDF]
, 2017 As part of the 2016 public evaluation challenge on Detection and Classification of Acoustic Scenes and Events (DCASE 2016), the second task focused on evaluating sound event detection systems using synthetic mixtures of office sounds.
Benetos, Emmanouil +2 more
core +1 more source
Joint Multi-Pitch Detection Using Harmonic Envelope Estimation for Polyphonic Music Transcription [PDF]
, 2011 In this paper, a method for automatic transcription of music signals based on joint multiple-F0 estimation is proposed. As a time-frequency representation, the constant-Q resonator time-frequency image is employed, while a novel noise suppression ...
Emmanouil Benetos +2 more
core +3 more sources
ETRI Journal, 2017 Recently, deep recurrent neural networks have achieved great success in various machine learning tasks, and have also been applied for sound event detection.
Hyoung‐Gook Kim, Jin Young Kim
doaj +1 more source