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sound event

Description

Publications

• Sound Event Detection in the DCASE 2017 Challenge
• Computational analysis of sound scenes and events
• Introduction to sound scene and event analysis
• Transfer Learning of Weakly Labelled Audio
• Assessment of support vector machines and convolutional neural networks to detect snoring using Emfit mattress
• Convolutional recurrent neural networks for bird audio detection
• Sound event detection using weakly labeled dataset with stacked convolutional and recurrent neural network
• Stacked convolutional and recurrent neural networks for bird audio detection
• Assessment of human and machine performance in acoustic scene classification: DCASE 2016 case study
• Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 Workshop (DCASE2017)
• Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection
• Sound event detection using spatial features and convolutional recurrent neural network
• Active Learning for Sound Event Classification by Clustering Unlabeled Data
• Filterbank Learning for Deep Neural Network Based Polyphonic Sound Event Detection
• Recurrent Neural Networks for Polyphonic Sound Event Detection in Real Life Recordings
• Sound event detection in real life audio
• Sound event detection in multichannel audio using spatial and harmonic features
• TUT Database for Acoustic Scene Classification and Sound Event Detection
• Metrics for polyphonic sound event detection
• Evaluating the Impact of Sound Events’ Rhythm Characteristics to Listener’s Valence
• Recurrent neural networks for polyphonic sound event detection
• Multi-label vs. combined single-label sound event detection with deep neural networks
• Polyphonic sound event detection using multi label deep neural networks
• Automatic recognition of environmental sound events using all-pole group delay features
• Sound event detection in real life recordings using coupled matrix factorization of spectral representations and class activity annotations
• Acoustic Event Classification Using Deep Neural Networks
• Multilabel Sound Event Classification with Neural Networks
• Recognition of Acoustic Events Using Deep Neural Networks
• Query-by-example retrieval of sound events using an integrated similarity measure of content and label
• Context-Dependent Sound Event Detection
• Analysis of acoustic-semantic relationship for diversely annotated real-world audio data
• Supervised Model Training for Overlapping Sound Events Based on Unsupervised Source Separation
• Sound event detection and context recognition
• Sound Event Detection in Multisource Environments Using Source Separation
• Latent Semantic Analysis in Sound Event Detection
• Acoustic event detection in real life recordings
• TUT Acoustic Event Detection System 2007