Results 31 to 40 of about 4,447 (146)
Onset Event Decoding Exploiting the Rhythmic Structure of Polyphonic Music [PDF]
, 2011 (c)2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or ...
Antonio Pena +4 more
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Collecting ground truth annotations for drum detection in polyphonic music [PDF]
, 2005 In order to train and test algorithms that can automatically detect drum events in polyphonic music, ground truth data is needed. This paper describes a setup used for gathering manual annotations for 49 real-world music fragments containing different ...
De Baets, Bernard +5 more
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A Sequence Matching Network for Polyphonic Sound Event Localization and Detection [PDF]
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020 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 phase differences between microphones.
Nguyen, Thi Ngoc Tho +2 more
openaire +2 more sources
Multiple-instrument polyphonic music transcription using a convolutive probabilistic model [PDF]
, 2011 (Abstract to ...
Benetos, E., Dixon, S.
core +1 more source
Event-Independent Network for Polyphonic Sound Event Localization and Detection
, 2020 Polyphonic sound event localization and detection is not only detecting what sound events are happening but localizing corresponding sound sources. This series of tasks was first introduced in DCASE 2019 Task 3. In 2020, the sound event localization and detection task introduces additional challenges in moving sound sources and overlapping-event cases,
Cao, Yin +5 more
openaire +2 more sources
, 2019 This paper proposes an effective modelling of sound event spectra with a hidden data-size-imbalance, for improved Acoustic Event Detection (AED). The proposed method models each event as an aggregated representation of a few latent factors, while ...
Komatsu, Tatsuya +2 more
core +1 more source
Sound Event Detection with Sequentially Labelled Data Based on Connectionist Temporal Classification and Unsupervised Clustering [PDF]
, 2019 Sound event detection (SED) methods typically rely on either strongly labelled data or weakly labelled data. As an alternative, sequentially labelled data (SLD) was proposed.
Hou, Yuanbo +3 more
core +3 more sources
Recurrent neural networks for polyphonic sound event detection in real life recordings [PDF]
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016 In this paper we present an approach to polyphonic sound event detection in real life recordings based on bi-directional long short term memory (BLSTM) recurrent neural networks (RNNs). A single multilabel BLSTM RNN is trained to map acoustic features of a mixture signal consisting of sounds from multiple classes, to binary activity indicators of each ...
Parascandolo Giambattista +2 more
openaire +2 more sources
Acoustic event detection for multiple overlapping similar sources
, 2015 Many current paradigms for acoustic event detection (AED) are not adapted to the organic variability of natural sounds, and/or they assume a limit on the number of simultaneous sources: often only one source, or one source of each type, may be active ...
Clayton, David, Stowell, Dan
core +1 more source
, 2015 This paper discusses real-time alignment of audio signals of music performance to the corresponding score (a.k.a. score following) which can handle tempo changes, errors and arbitrary repeats and/or skips (repeats/skips) in performances.
Nakamura, Eita +2 more
core +1 more source