18 citations · 29 across the 3 of their papers we have counts for
4 papers
DCASE 2017 Task 1: Acoustic Scene Classification Using Shift-Invariant Kernels and Random Features
Abelino Jimenez, Benjamin Elizalde, Bhiksha Raj
Acoustic scene recordings are represented by different types of handcrafted or Neural Network-derived features. These features, typically of thousands of dimensions, are classified…
Audio Concept Classification with Hierarchical Deep Neural Networks
Mirco Ravanelli, Benjamin Elizalde, Karl Ni +1
Audio-based multimedia retrieval tasks may identify semantic information in audio streams, i.e., audio concepts (such as music, laughter, or a revving engine). Conventional Gaussia…
City-Identification of Flickr Videos Using Semantic Acoustic Features
Benjamin Elizalde, Guan-Lin Chao, Ming Zeng +1
City-identification of videos aims to determine the likelihood of a video belonging to a set of cities. In this paper, we present an approach using only audio, thus we do not use a…
The YLI-MED Corpus: Characteristics, Procedures, and Plans
Julia Bernd, Damian Borth, Benjamin Elizalde +7
The YLI Multimedia Event Detection corpus is a public-domain index of videos with annotations and computed features, specialized for research in multimedia event detection (MED), i…