10 citations · 14 across the 8 of their papers we have counts for
8 papers
From Real to Cloned Singer Identification
Dorian Desblancs, Gabriel Meseguer-Brocal, Romain Hennequin +1
Cloned voices of popular singers sound increasingly realistic and have gained popularity over the past few years. They however pose a threat to the industry due to personality righ…
STraDa: A Singer Traits Dataset
Yuexuan Kong, Viet-Anh Tran, Romain Hennequin
There is a limited amount of large-scale public datasets that contain downloadable music audio files and rich lead singer metadata. To provide such a dataset to benefit research in…
An Experimental Comparison Of Multi-view Self-supervised Methods For Music Tagging
Gabriel Meseguer-Brocal, Dorian Desblancs, Romain Hennequin
Self-supervised learning has emerged as a powerful way to pre-train generalizable machine learning models on large amounts of unlabeled data. It is particularly compelling in the m…
Distinguishing Fictional Voices: a Study of Authorship Verification Models for Quotation Attribution
Gaspard Michel, Elena V. Epure, Romain Hennequin +1
Recent approaches to automatically detect the speaker of an utterance of direct speech often disregard general information about characters in favor of local information found in t…
Ex2Vec: Characterizing Users and Items from the Mere Exposure Effect
Bruno Sguerra, Viet-Anh Tran, Romain Hennequin
The traditional recommendation framework seeks to connect user and content, by finding the best match possible based on users past interaction. However, a good content recommendati…
On the Consistency of Average Embeddings for Item Recommendation
Walid Bendada, Guillaume Salha-Galvan, Romain Hennequin +2
A prevalent practice in recommender systems consists in averaging item embeddings to represent users or higher-level concepts in the same embedding space. This paper investigates t…