31 citations · 41 across the 11 of their papers we have counts for
12 papers · 1 filter
Uncovering shortcut learning in audio classifiers by discovering recurring concepts in temporal explanations
Cecilia Bolaños, Luciana Ferrer, Magdalena Fuentes
Correlations between events in machine learning datasets may result in shortcut learning, where models learn to predict the target event based on the presence of a correlated event…
Two vs. Four-Channel Sound Event Localization and Detection
Julia Wilkins, Magdalena Fuentes, Luca Bondi +3
Sound event localization and detection (SELD) systems estimate both the direction-of-arrival (DOA) and class of sound sources over time. In the DCASE 2022 SELD Challenge (Task 3),…
Bridging High-Quality Audio and Video via Language for Sound Effects Retrieval from Visual Queries
Julia Wilkins, Justin Salamon, Magdalena Fuentes +2
Finding the right sound effects (SFX) to match moments in a video is a difficult and time-consuming task, and relies heavily on the quality and completeness of text metadata. Retri…
A Multimodal Prototypical Approach for Unsupervised Sound Classification
Saksham Singh Kushwaha, Magdalena Fuentes
In the context of environmental sound classification, the adaptability of systems is key: which sound classes are interesting depends on the context and the user's needs. Recent ad…
Adapting Meter Tracking Models to Latin American Music
Lucas S. Maia, Martín Rocamora, Luiz W. P. Biscainho +1
Beat and downbeat tracking models have improved significantly in recent years with the introduction of deep learning methods. However, despite these improvements, several challenge…
Tempo vs. Pitch: understanding self-supervised tempo estimation
Giovana Morais, Matthew E. P. Davies, Marcelo Queiroz +1
Self-supervision methods learn representations by solving pretext tasks that do not require human-generated labels, alleviating the need for time-consuming annotations. These metho…
FlowGrad: Using Motion for Visual Sound Source Localization
Rajsuryan Singh, Pablo Zinemanas, Xavier Serra +2
Most recent work in visual sound source localization relies on semantic audio-visual representations learned in a self-supervised manner, and by design excludes temporal informatio…
How to Listen? Rethinking Visual Sound Localization
Ho-Hsiang Wu, Magdalena Fuentes, Prem Seetharaman +1
Localizing visual sounds consists on locating the position of objects that emit sound within an image. It is a growing research area with potential applications in monitoring natur…
A Study on Robustness to Perturbations for Representations of Environmental Sound
Sangeeta Srivastava, Ho-Hsiang Wu, Joao Rulff +5
Audio applications involving environmental sound analysis increasingly use general-purpose audio representations, also known as embeddings, for transfer learning. Recently, Holisti…
Soundata: A Python library for reproducible use of audio datasets
Magdalena Fuentes, Justin Salamon, Pablo Zinemanas +6
Soundata is a Python library for loading and working with audio datasets in a standardized way, removing the need for writing custom loaders in every project, and improving reprodu…
Exploring modality-agnostic representations for music classification
Ho-Hsiang Wu, Magdalena Fuentes, Juan P. Bello
Music information is often conveyed or recorded across multiple data modalities including but not limited to audio, images, text and scores. However, music information retrieval re…
SONYC-UST-V2: An Urban Sound Tagging Dataset with Spatiotemporal Context
Mark Cartwright, Jason Cramer, Ana Elisa Mendez Mendez +9
We present SONYC-UST-V2, a dataset for urban sound tagging with spatiotemporal information. This dataset is aimed for the development and evaluation of machine listening systems fo…