Search Results for author: Hervé Glotin

Found 7 papers, 1 papers with code

NIPS4Bplus: a richly annotated birdsong audio dataset

1 code implementation6 Nov 2018 Veronica Morfi, Yves Bas, Hanna Pamuła, Hervé Glotin, Dan Stowell

Recent advances in birdsong detection and classification have approached a limit due to the lack of fully annotated recordings.

Sound Digital Libraries Audio and Speech Processing

Automatic acoustic detection of birds through deep learning: the first Bird Audio Detection challenge

no code implementations16 Jul 2018 Dan Stowell, Yannis Stylianou, Mike Wood, Hanna Pamuła, Hervé Glotin

Assessing the presence and abundance of birds is important for monitoring specific species as well as overall ecosystem health.

Sound Audio and Speech Processing

Bird detection in audio: a survey and a challenge

no code implementations11 Aug 2016 Dan Stowell, Mike Wood, Yannis Stylianou, Hervé Glotin

Many biological monitoring projects rely on acoustic detection of birds.


Dirichlet Process Parsimonious Mixtures for clustering

no code implementations14 Jan 2015 Faicel Chamroukhi, Marius Bartcus, Hervé Glotin

The proposed DPPM models are Bayesian nonparametric parsimonious mixture models that allow to simultaneously infer the model parameters, the optimal number of mixture components and the optimal parsimonious mixture structure from the data.

Model Selection

Mixture model-based functional discriminant analysis for curve classification

no code implementations25 Dec 2013 Faicel Chamroukhi, Hervé Glotin

More specifically, we propose a new mixture model-based discriminant analysis approach for functional data using a specific hidden process regression model.

General Classification

Model-based functional mixture discriminant analysis with hidden process regression for curve classification

no code implementations25 Dec 2013 Faicel Chamroukhi, Hervé Glotin, Allou Samé

We propose a new model-based functional mixture discriminant analysis approach based on a specific hidden process regression model that governs the regime changes over time.

General Classification

Physeter catodon localization by sparse coding

no code implementations13 Jun 2013 Sébastien Paris, Yann Doh, Hervé Glotin, Xanadu Halkias, Joseph Razik

This paper presents a spermwhale' localization architecture using jointly a bag-of-features (BoF) approach and machine learning framework.

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