ERD

City Classification from Multiple Real-World Sound Scenes

Project: EVERYSOUND

Updated at: 27-04-2024

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Project acronym EVERYSOUND

ACOUSTIC SCENE CLASSIFICATION: A COMPETITION REVIEW

Project: EVERYSOUND

Updated at: 27-04-2024

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Project acronym EVERYSOUND

A recurrent encoder-decoder approach with skip-filtering connections for monaural singing voice separation

Project: EVERYSOUND

Updated at: 27-04-2024

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Project acronym EVERYSOUND

Harmonic-Percussive Source Separation with Deep Neural Networks and Phase Recovery

Project: EVERYSOUND

Updated at: 27-04-2024

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Project acronym EVERYSOUND

Reducing Interference with Phase Recovery in DNN-based Monaural Singing Voice Separation

Project: EVERYSOUND

Updated at: 27-04-2024

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Project acronym EVERYSOUND

Close Miking Empirical Practice Verification: A Source Separation Approach

Project: EVERYSOUND

Updated at: 27-04-2024

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Project acronym EVERYSOUND

Acoustic Scene Classification: An Overview of Dcase 2017 Challenge Entries

Project: EVERYSOUND

Updated at: 27-04-2024

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Project acronym EVERYSOUND

Using Sequential Information in Polyphonic Sound Event Detection

Project: EVERYSOUND

Updated at: 27-04-2024

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Project acronym EVERYSOUND

Localization, Detection and Tracking of Multiple Moving Sound Sources with a Convolutional Recurrent Neural Network

Project: EVERYSOUND

Updated at: 27-04-2024

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Project acronym EVERYSOUND

Crowdsourcing a Dataset of Audio Captions

Project: EVERYSOUND

Updated at: 27-04-2024

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Project acronym EVERYSOUND

Deep Learning for Audio Signal Processing

Project: EVERYSOUND

Updated at: 27-04-2024

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Project acronym EVERYSOUND

An Active Learning Method Using Clustering and Committee-Based Sample Selection for Sound Event Classification

Project: EVERYSOUND

Updated at: 27-04-2024

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Project acronym EVERYSOUND

Sound Event Envelope Estimation in Polyphonic Mixtures

Project: EVERYSOUND

Updated at: 27-04-2024

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Project acronym EVERYSOUND

Joint Measurement of Localization and Detection of Sound Events

Project: EVERYSOUND

Updated at: 27-04-2024

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Project acronym EVERYSOUND

Zero-Shot Audio Classification Based On Class Label Embeddings

Project: EVERYSOUND

Updated at: 27-04-2024

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Project acronym EVERYSOUND

Acoustic scene classification in DCASE 2019 Challenge: closed and open set classification and data mismatch setups

Project: EVERYSOUND

Updated at: 27-04-2024

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Project acronym EVERYSOUND

Sound Event Detection with Depthwise Separable and Dilated Convolutions

Project: EVERYSOUND

Updated at: 27-04-2024

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Project acronym EVERYSOUND

Clotho: an Audio Captioning Dataset

Project: EVERYSOUND

Updated at: 27-04-2024

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Project acronym EVERYSOUND

Sound Event Detection Via Dilated Convolutional Recurrent Neural Networks

Project: EVERYSOUND

Updated at: 27-04-2024

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Project acronym EVERYSOUND

Frequency-Dependent Directional Feedback Delay Network

Project: EVERYSOUND

Updated at: 27-04-2024

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Project acronym EVERYSOUND

Proceedings of the detection and classification of acoustic scenes and events 2017 workshop (DCASE2017)

Project: EVERYSOUND

Updated at: 27-04-2024

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Project acronym EVERYSOUND

Sound event detection using weakly labeled dataset with stacked convolutional and recurrent neural network

Project: EVERYSOUND

Updated at: 27-04-2024

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Project acronym EVERYSOUND

Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection

Project: EVERYSOUND

Updated at: 27-04-2024

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Project acronym EVERYSOUND

Detection and Classification of Acoustic Scenes and Events: Outcome of the DCASE 2016 Challenge

Project: EVERYSOUND

Updated at: 27-04-2024

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Project acronym EVERYSOUND

Environmental noise monitoring using source classification in sensors

Project: EVERYSOUND

Updated at: 27-04-2024

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Project acronym EVERYSOUND

Sound event detection using spatial features and convolutional recurrent neural network

Project: EVERYSOUND

Updated at: 27-04-2024

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Project acronym EVERYSOUND

Learning vocal mode classifiers from heterogeneous data sources

Project: EVERYSOUND

Updated at: 27-04-2024

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Project acronym EVERYSOUND

Automated audio captioning with recurrent neural networks

Project: EVERYSOUND

Updated at: 27-04-2024

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Project acronym EVERYSOUND

Sound Event Detection in Multichannel Audio Using Spatial and Harmonic Features

Project: EVERYSOUND

Updated at: 27-04-2024

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Project acronym EVERYSOUND

Datasets and Evaluation

Project: EVERYSOUND

Updated at: 27-04-2024

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Project acronym EVERYSOUND

Resources

Selected filters:

City Classification from Multiple Real-World Sound Scenes

ACOUSTIC SCENE CLASSIFICATION: A COMPETITION REVIEW

A recurrent encoder-decoder approach with skip-filtering connections for monaural singing voice separation

Harmonic-Percussive Source Separation with Deep Neural Networks and Phase Recovery

Reducing Interference with Phase Recovery in DNN-based Monaural Singing Voice Separation

Close Miking Empirical Practice Verification: A Source Separation Approach

Acoustic Scene Classification: An Overview of Dcase 2017 Challenge Entries

Using Sequential Information in Polyphonic Sound Event Detection

Localization, Detection and Tracking of Multiple Moving Sound Sources with a Convolutional Recurrent Neural Network

Crowdsourcing a Dataset of Audio Captions

Deep Learning for Audio Signal Processing

An Active Learning Method Using Clustering and Committee-Based Sample Selection for Sound Event Classification

Sound Event Envelope Estimation in Polyphonic Mixtures

Joint Measurement of Localization and Detection of Sound Events

Zero-Shot Audio Classification Based On Class Label Embeddings

Acoustic scene classification in DCASE 2019 Challenge: closed and open set classification and data mismatch setups

Sound Event Detection with Depthwise Separable and Dilated Convolutions

Clotho: an Audio Captioning Dataset

Sound Event Detection Via Dilated Convolutional Recurrent Neural Networks

Frequency-Dependent Directional Feedback Delay Network

Proceedings of the detection and classification of acoustic scenes and events 2017 workshop (DCASE2017)

Sound event detection using weakly labeled dataset with stacked convolutional and recurrent neural network

Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection

Detection and Classification of Acoustic Scenes and Events: Outcome of the DCASE 2016 Challenge

Environmental noise monitoring using source classification in sensors

Sound event detection using spatial features and convolutional recurrent neural network

Learning vocal mode classifiers from heterogeneous data sources

Automated audio captioning with recurrent neural networks

Sound Event Detection in Multichannel Audio Using Spatial and Harmonic Features

Datasets and Evaluation