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Freesound technical demo
This demo wants to introduce Freesound to the multimedia community and show its potential as a research resource.
Essentia: An Audio Analysis Library for Music Information Retrieval
Comunicacio presentada a la 14th International Society for Music Information Retrieval Conference, celebrada a Curitiba (Brasil) els dies 4 a 8 de novembre de 2013.
RECURRENCE QUANTIFICATION ANALYSIS FEATURES FOR AUDITORY SCENE CLASSIFICATION
The use of Recurrence Quantification Analysis (RQA) features are explored for the scene classification task of the IEEE AASP Challenge for Detection and Classification of Acoustic Scenes and Events and improve accuracy when using a standard SVM classifier.
Freesound 2: An Improved Platform for Sharing Audio Clips
Freesound.org is an online collaborative sound database where people from different disciplines share recorded sound clips under Creative Commons licenses. It was started in 2005 and it is being…
Two-Stage Single-Channel Audio Source Separation Using Deep Neural Networks
- Emad M. Grais, Gerard Roma, Andrew J. R. Simpson, Mark D. Plumbley
- Computer ScienceIEEE/ACM Transactions on Audio, Speech, and…
- 1 September 2017
The experimental results show that using two stages of separation improves the quality of the separated signals by decreasing the interference between the separated sources and distortions compared to separating the sources using a single stage of separation.
Recurrence quantification analysis features for environmental sound recognition
- Gerard Roma, Waldo Nogueira, P. Herrera
- Computer ScienceIEEE Workshop on Applications of Signal…
- 1 October 2013
A new set of descriptors based on Recurrence Quantification Analysis (RQA) which can be extracted from the similarity matrix of a time series of audio descriptors are described, which show the potential of non-linear time series analysis techniques for dealing with environmental sounds.
Ecological Acoustics Perspective for Content-Based Retrieval of Environmental Sounds
- Gerard Roma, J. Janer, S. Kersten, Mattia Schirosa, P. Herrera, X. Serra
- Computer ScienceEURASIP J. Audio Speech Music. Process.
A method to search for environmental sounds in large unstructured databases of user-submitted audio, using a general sound events taxonomy from ecological acoustics is presented.
Querying Freesound with a microphone
This work presents a demonstration system that allows users to make queries on Freesound.org by recording audio in the browser, enabling Query by Example (QbE) applications.
IEEE AASP Challenge on Detection and Classification of Acous tic Scenes and Events AUTOMATIC EVENT CLASSIFICATION USING FRONT END SINGLE CHAN NEL NOISE REDUCTION, MFCC FEATURES AND A SUPPORT VECTOR…
This submission to the sub-task scene event classification O ffice Live of the IEEE AASP Challenge: Detection and Classificatio n of Acoustic Scenes and Events uses first a single channel noise r…
Deep Karaoke: Extracting Vocals from Musical Mixtures Using a Convolutional Deep Neural Network
A convolutional DNN is trained of around a billion parameters to provide probabilistic estimates of the ideal binary mask for separation of vocal sounds from real-world musical mixtures and may be useful for automatic removal of vocalSounds from musical mixture for 'karaoke' type applications.