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Ricard Marxer

Professor

Université de Toulon

France

Research Interests

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Articles (20)

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Collaborators (7)

Benjamin Cretois

Research scientist

Norwegian Institute for Nature Research

NORWAY

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Pascal Belin

Professor / Team leader

Aix-Marseille University

FRANCE

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Mélissa Berthet

Chargée de Recherche

CNRS

FRANCE

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Arik Kershenbaum

Associate Professor

Gonville and Caius College, University of Cambridge

UNITED KINGDOM

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Mohamed CHETOUANI

Full Professor

Université Pierre et Marie Curie

FRANCE

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Dan Stowell

Associate Professor of Computational Biodiversity

Leiden University

NETHERLANDS

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Claire Dune

Professor Agrégéé

Laval University

CANADA

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Ricard Marxer

Research Interests

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Articles (20)

Data-driven sampling strategies for fine-tuning bird detection models

A large annotated dataset of vocalizations by common marmosets

Automatic detection for bioacoustic research: a practical guide from and for biologists and computer scientists

Design Choices for PixIT-based Speaker-Attributed ASR: Team ToTaTo at the NOTSOFAR-1 Challenge

SUCRe: Leveraging Scene Structure for Underwater Color Restoration

Proceedings of the International Conference on the Evolution of Language 2024 (Evolang XV)

Scaling Properties of Speech Language Models

ToTaTo System Descriptions for the NOTSOFAR1 Challenge

Investigating self-supervised speech models' ability to classify animal vocalizations: The case of gibbon's vocal signatures

TalTech-IRIT-LIS Speaker and Language Diarization Systems for DISPLACE 2024

Transfer Learning from Whisper for Microscopic Intelligibility Prediction

Applying machine learning to primate bioacoustics: review and perspectives

PixIT: Joint Training of Speaker Diarization and Speech Separation from Real-world Multi-speaker Recordings

Speech Foundation Models on Intelligibility Prediction for Hearing-Impaired Listeners

Vocal interactivity in-and-between humans, animals and robots

Eiffel Tower: A deep-sea underwater dataset for long-term visual localization

On the Benefits of Self-supervised Learned Speech Representations for Predicting Human Phonetic Misperceptions

Progress and Prospects for Spoken Language Technology: Results from Five Sexennial Surveys

1st Year of running MIR at UJI

Deep audio embeddings for vocalisation clustering

Collaborators (7)

Benjamin Cretois

Pascal Belin

Mélissa Berthet

Arik Kershenbaum

Mohamed CHETOUANI

Dan Stowell

Claire Dune

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