Rank-Based Loss For Learning Hierarchical Representations. | 0 | 0.34 | 2022 |
Acoustic traits of bat-pollinated flowers compared to flowers of other pollination syndromes and their echo-based classification using convolutional neural networks | 0 | 0.34 | 2021 |
Spectral Visibility Graphs: Application To Similarity Of Harmonic Signals | 0 | 0.34 | 2019 |
Estimating & Mitigating the Impact of Acoustic Environments on Machine-to-Machine Signalling | 0 | 0.34 | 2019 |
Visibility graphs for robust harmonic similarity measures between audio spectra. | 0 | 0.34 | 2019 |
End-to-End Probabilistic Inference for Nonstationary Audio Analysis. | 0 | 0.34 | 2019 |
NIPS4Bplus: a richly annotated birdsong audio dataset | 0 | 0.34 | 2019 |
Efficient On-line Computation of Visibility Graphs. | 0 | 0.34 | 2019 |
A Generative Model for Natural Sounds Based on Latent Force Modelling. | 0 | 0.34 | 2018 |
Does k Matter? k-NN Hubness Analysis for Kernel Additive Modelling Vocal Separation. | 0 | 0.34 | 2018 |
Data-Efficient Weakly Supervised Learning for Low-Resource Audio Event Detection Using Deep Learning. | 1 | 0.37 | 2018 |
Automatic acoustic detection of birds through deep learning: the first Bird Audio Detection challenge. | 2 | 0.37 | 2018 |
Unifying Probabilistic Models For Time-Frequency Analysis | 0 | 0.34 | 2018 |
Sparse Gaussian Process Audio Source Separation Using Spectrum Priors In The Time-Domain | 1 | 0.35 | 2018 |
Deep Learning for Audio Transcription on Low-Resource Datasets. | 0 | 0.34 | 2018 |
Automatic acoustic identification of individual animals: Improving generalisation across species and recording conditions. | 0 | 0.34 | 2018 |
On-Bird Sound Recordings: Automatic Acoustic Recognition of Activities and Contexts. | 1 | 0.37 | 2017 |
Efficient Learning of Harmonic Priors for Pitch Detection in Polyphonic Music. | 0 | 0.34 | 2017 |
Bird detection in audio: A survey and a challenge | 17 | 1.20 | 2016 |
Detailed temporal structure of communication networks in groups of songbirds. | 0 | 0.34 | 2016 |
Gaussian processes for music audio modelling and content analysis | 2 | 0.38 | 2016 |
Detection and Classification of Acoustic Scenes and Events | 79 | 2.81 | 2015 |
BirdCLEF 2015 Submission: Unsupervised Feature Learning from Audio. | 0 | 0.34 | 2015 |
Denoising without access to clean data using a partitioned autoencoder. | 1 | 0.36 | 2015 |
Acoustic Scene Classification | 15 | 0.64 | 2014 |
Audio-only Bird Classification Using Unsupervised Feature Learning. | 2 | 0.46 | 2014 |
Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning. | 42 | 1.98 | 2014 |
Maximum a posteriori estimation of piecewise arcs in tempo time-series | 1 | 0.35 | 2013 |
Improved multiple birdsong tracking with distribution derivative method and Markov renewal process clustering | 2 | 0.42 | 2013 |
A Database And Challenge For Acoustic Scene Classification And Event Detection | 18 | 2.20 | 2013 |
Large-scale analysis of frequency modulation in birdsong databases. | 1 | 0.48 | 2013 |
Segregating event streams and noise with a Markov renewal process model | 10 | 0.79 | 2013 |
An open dataset for research on audio field recording archives: freefield1010. | 7 | 0.88 | 2013 |
Scheduling and composing with Risset eternal accelerando rhythms | 0 | 0.34 | 2011 |
MIR in School? Lessons from Ethnographic Observation of Secondary School Music Classes. | 3 | 0.38 | 2011 |
Cross-associating unlabelled timbre distributions to create expressive musical mappings | 0 | 0.34 | 2010 |
Discourse Analysis Evaluation Method for Expressive Musical Interfaces. | 4 | 0.62 | 2008 |
ADAPTIVE WHITENING FOR IMPROVED REAL-TIME AUDIO ONSET DETECTION | 0 | 0.34 | 2007 |